Mozammel Mia, PhD

• Ph.D. (2023), Imperial College London, London, UK
   
• M.Sc. (2015), BUET, Dhaka, Bangladesh
   
• B.Sc. (2012), BUET, Dhaka, Bangladesh

Book Chapters

Gupta, M. K., Mia, M., Gupta, N., Singh, S., Choudhary, A., Jamil, M., Khan, A. M., Nadolny, K., Kaplonek, W., Pimenov, D. Y., & Pruncu, C. I. (2021). Modeling and optimization algorithms in rapid prototyping, submerged Arc welding, and turning. In Modeling and Optimization in Manufacturing: Toward Greener Production by Integrating Computer Simulation (pp. 193–215). wiley. https://doi.org/10.1002/9783527825233.ch7

Mia, M., Rahman, M. A., Gupta, M. K., Sharma, N., Danish, M., & Prakash, C. (2021). Advanced cooling-lubrication technologies in metal machining. In Machining and Tribology: Processes, Surfaces, Coolants, and Modeling (pp. 67–92). Elsevier. https://doi.org/10.1016/B978-0-12-819889-6.00010-1

Rahman, M. A., Ahmed, A., & Mia, M. (2021). Trends in electrical discharge machining of Ti- and Ni-based superalloys: Macro-micro-compound arc/spark/melt process. In Micro Electro-fabrication (pp. 63–87). Elsevier. https://doi.org/10.1016/B978-0-12-820049-0.00006-2

Danish, M., Yasir, M., Mia, M., Nazir, K., Ahmed, T., & Rani, A. M. A. (2020). High speed machining of magnesium and its alloys. In High-Speed Machining (pp. 263–282). Elsevier. https://doi.org/10.1016/B978-0-12-815020-7.00010-2

Journals

Mia, M., Anwar, S., & Yang, X. (2023). Development of interactive friction model for machining considering the instantaneous interfacial characteristics. Journal of Materials Processing Technology, 322. https://doi.org/10.1016/j.jmatprotec.2023.118203

Mia, M., Zhang, L., Anwar, S., & Liu, H. (2023). Development of digital characteristics of machining based on physics-guided data. Journal of Manufacturing Systems, 71, 438–450. https://doi.org/10.1016/j.jmsy.2023.09.014

Tusar, I. H., Zaman, P. B., Mia, M., Saha, S., & Dhar, N. R. (2023). Influence of grinding parameters on surface roughness and temperature under carbon nanotube assisted MQL. Advances in Materials and Processing Technologies, 9(1), 92–115. https://doi.org/10.1080/2374068X.2022.2085954

Sato, B. K., Lopes, J. C., Rodriguez, R. L., Garcia, M. V, Mia, M., Ribeiro, F. S. F., Sanchez, L. E. D. A., Aguiar, P. R., & Bianchi, E. C. (2022). Novel comparison concept between CBN and Al2O3 grinding process for eco-friendly production. Journal of Cleaner Production, 330. https://doi.org/10.1016/j.jclepro.2021.129673

Aherwar, A., Pruncu, C. I., & Mia, M. (2022). Optimal design based on fabricated SiC/B4C/Porcelain filled aluminium alloy matrix composite using hybrid AHP/CRITIC-COPRAS approach. Silicon, 14(2), 603–615. https://doi.org/10.1007/s12633-020-00916-1

Pimenov, D. Y., Mia, M., Gupta, M. K., Machado, Á. R., Pintaude, G., Unune, D. R., Khanna, N., Khan, A. M., Tomaz, Í., Wojciechowski, S., & Kuntoğlu, M. (2022). Resource saving by optimization and machining environments for sustainable manufacturing: A review and future prospects. Renewable and Sustainable Energy Reviews, 166. https://doi.org/10.1016/j.rser.2022.112660

Shahari, S., Fathullah, M., Abdullah, M. M. A. B., Shayfull, Z., Mia, M., & Budi Darmawan, V. E. (2021). Recent developments in fire retardant glass fibre reinforced epoxy composite and geopolymer as a potential fire-retardant material: A review. Construction and Building Materials, 277. https://doi.org/10.1016/j.conbuildmat.2021.122246

Sarikaya, M., Gupta, M. K., Tomaz, I., Danish, M., Mia, M., Rubaiee, S., Jamil, M., Pimenov, D. Y., & Khanna, N. (2021). Cooling techniques to improve the machinability and sustainability of light-weight alloys: A state-of-the-art review. Journal of Manufacturing Processes, 62, 179–201. https://doi.org/10.1016/j.jmapro.2020.12.013

Pimenov, D. Y., Mia, M., Gupta, M. K., Machado, A. R., Tomaz, Í. V, Sarikaya, M., Wojciechowski, S., Mikolajczyk, T., & Kaplonek, W. (2021). Improvement of machinability of Ti and its alloys using cooling-lubrication techniques: A review and future prospect. Journal of Materials Research and Technology, 11, 719–753. https://doi.org/10.1016/j.jmrt.2021.01.031

Sen, B., Mia, M., Krolczyk, G. M., Mandal, U. K., & Mondal, S. P. (2021). Eco-friendly cutting fluids in minimum quantity lubrication assisted machining: A review on the perception of sustainable manufacturing. International Journal of Precision Engineering and Manufacturing - Green Technology, 8(1), 249–280. https://doi.org/10.1007/s40684-019-00158-6

Sen, B., Hussain, S. A. I., Gupta, M. K., Mia, M., & Mandal, U. K. (2021). Swarm intelligence based selection of optimal end-milling parameters under minimum quantity nano-green lubricating environment. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235(23), 6969–6983. https://doi.org/10.1177/09544062211012723

Dwivedi, S. P., Saxena, A., Sharma, S., Singh, G., Singh, J., Mia, M., Chattopadhyaya, S., Pramanik, A., Pimenov, D. Y., & Wojciechowski, S. (2021). Effect of ball-milling process parameters on mechanical properties of Al/Al2O3/collagen powder composite using statistical approach. Journal of Materials Research and Technology, 15, 2918–2932. https://doi.org/10.1016/j.jmrt.2021.09.082

Nguyen, T.-T., Duong, Q.-D., & Mia, M. (2021). Multi-response optimization of the actively driven rotary turning for energy efficiency, carbon emissions, and machining quality. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 235(13), 2155–2173. https://doi.org/10.1177/09544054211001014

Ross, N. S., Mia, M., Anwar, S., G, M., Saleh, M., & Ahmad, S. (2021). A hybrid approach of cooling lubrication for sustainable and optimized machining of Ni-based industrial alloy. Journal of Cleaner Production, 321. https://doi.org/10.1016/j.jclepro.2021.128987

Singh, R., Gupta, M. K., Sarikaya, M., Mia, M., & Garcia-Collado, A. (2021). Evaluation of machinability-based sustainability indicators in the eco-benign turning of Ti3Al2.5V alloy with textured tools. International Journal of Advanced Manufacturing Technology, 116(9–10), 3051–3061. https://doi.org/10.1007/s00170-021-07667-2

Gupta, M. K., Song, Q., Liu, Z., Sarikaya, M., Mia, M., Jamil, M., Singla, A. K., Bansal, A., Pimenov, D. Y., & Kuntoğlu, M. (2021). Tribological performance based machinability investigations in cryogenic cooling assisted turning of α-β titanium Alloy. Tribology International, 160. https://doi.org/10.1016/j.triboint.2021.107032

Milan, J. C. G., Machado, A. R., Tomaz, Í. V, da Silva, L. R. R., Barbosa, C. A., Mia, M., & Pimenov, D. Y. (2021). Effects of calcium-treatment of a plastic injection mold steel on the tool wear and power consumption in slot milling. Journal of Materials Research and Technology, 13, 1103–1114. https://doi.org/10.1016/j.jmrt.2021.05.021

Erden, M. A., Yaşar, N., Korkmaz, M. E., Ayvacı, B., Nimel Sworna Ross, K., & Mia, M. (2021). Investigation of microstructure, mechanical and machinability properties of Mo-added steel produced by powder metallurgy method. International Journal of Advanced Manufacturing Technology, 114(9–10), 2811–2827. https://doi.org/10.1007/s00170-021-07052-z

Rahman, M. A., Rahman, M., Woon, K. S., & Mia, M. (2021). Episodes of chip formation in micro-to-nanoscale cutting of Inconel 625. International Journal of Mechanical Sciences, 199. https://doi.org/10.1016/j.ijmecsci.2021.106407

Şap, E., Usca, Ü. A., Gupta, M. K., Kuntoğlu, M., Sarıkaya, M., Pimenov, D. Y., & Mia, M. (2021). Parametric optimization for improving the machining process of cu/mo‐sicp composites produced by powder metallurgy. Materials, 14(8). https://doi.org/10.3390/ma14081921

Giasin, K., Dad, A., Brousseau, E., Pimenov, D., Mia, M., Morkavuk, S., & Koklu, U. (2021). The effects of through tool cryogenic machining on the hole quality in GLARE® fibre metal laminates. Journal of Manufacturing Processes, 64, 996–1012. https://doi.org/10.1016/j.jmapro.2021.02.010

Khan, A. M., Liang, L., Mia, M., Gupta, M. K., Wei, Z., Jamil, M., & Ning, H. (2021). Development of process performance simulator (PPS) and parametric optimization for sustainable machining considering carbon emission, cost and energy aspects. Renewable and Sustainable Energy Reviews, 139. https://doi.org/10.1016/j.rser.2021.110738

Gupta, M. K., Song, Q., Liu, Z., Sarikaya, M., Jamil, M., Mia, M., Singla, A. K., Khan, A. M., Khanna, N., & Pimenov, D. Y. (2021). Environment and economic burden of sustainable cooling/lubrication methods in machining of Inconel-800. Journal of Cleaner Production, 287. https://doi.org/10.1016/j.jclepro.2020.125074

K, N. S. R., G, M., Anwar, S., Rahman, M. A., Erdi Korkmaz, M., Gupta, M. K., Alfaify, A., & Mia, M. (2021). Investigation of surface modification and tool wear on milling Nimonic 80A under hybrid lubrication. Tribology International, 155. https://doi.org/10.1016/j.triboint.2020.106762

Bustillo, A., Pimenov, D. Y., Mia, M., & Kapłonek, W. (2021). Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth. Journal of Intelligent Manufacturing, 32(3), 895–912. https://doi.org/10.1007/s10845-020-01645-3

Maruda, R. W., Wojciechowski, S., Szczotkarz, N., Legutko, S., Mia, M., Gupta, M. K., Nieslony, P., & Krolczyk, G. M. (2021). Metrological analysis of surface quality aspects in minimum quantity cooling lubrication. Measurement: Journal of the International Measurement Confederation, 171. https://doi.org/10.1016/j.measurement.2020.108847

Abrão, B. S., Pereira, M. F., da Silva, L. R. R., Machado, Á. R., Gelamo, R. V, de Freitas, F. M. C., Mia, M., & da Silva, R. B. (2021). Improvements of the mql cooling-lubrication condition by the addition of multilayer graphene platelets in peripheral grinding of sae 52100 steel. Lubricants, 9(8). https://doi.org/10.3390/lubricants9080079

Sharma, S., Singh, J., Gupta, M. K., Mia, M., Dwivedi, S. P., Saxena, A., Chattopadhyaya, S., Singh, R., Pimenov, D. Y., & Korkmaz, M. E. (2021). Investigation on mechanical, tribological and microstructural properties of Al-Mg-Si-T6/SiC/muscovite-hybrid metal-matrix composites for high strength applications. Journal of Materials Research and Technology, 12, 1564–1581. https://doi.org/10.1016/j.jmrt.2021.03.095

Kumar, J., Singh, D., Kalsi, N. S., Sharma, S., Mia, M., Singh, J., Rahman, M. A., Khan, A. M., & Rao, K. V. (2021). Investigation on the mechanical, tribological, morphological and machinability behavior of stir-casted Al/SiC/Mo reinforced MMCs. Journal of Materials Research and Technology, 12, 930–946. https://doi.org/10.1016/j.jmrt.2021.03.034

Azizur Rahman, M., Bhuiyan, M. S., Sharma, S., Kamal, M. S., Musabbir Imtiaz, M. M., Alfaify, A., Nguyen, T.-T., Khanna, N., Sharma, S., Gupta, M. K., Anwar, S., & Mia, M. (2021). Influence of feed rate response (FRR) on chip formation in micro and macro machining of al alloy. Metals, 11(1), 1–21. https://doi.org/10.3390/met11010159

Khan, A. M., Anwar, S., Jamil, M., Nasr, M. M., Gupta, M. K., Saleh, M., Ahmad, S., & Mia, M. (2021). Energy, environmental, economic, and technological analysis of al-gnp nanofluid-and cryogenic ln2-assisted sustainable machining of ti-6al-4v alloy. Metals, 11(1), 1–22. https://doi.org/10.3390/met11010088

Sen, B., Gupta, M. K., Mia, M., Pimenov, D. Y., & Mikolajczyk, T. (2021). Performance assessment of minimum quantity castor-palm oil mixtures in hard-milling operation. Materials, 14(1), 1–13. https://doi.org/10.3390/ma14010198

Yasir, M., Danish, M., Mia, M., Gupta, M. K., & Sarikaya, M. (2021). Investigation into the surface quality and stress corrosion cracking resistance of AISI 316L stainless steel via precision end-milling operation. International Journal of Advanced Manufacturing Technology, 112(3–4), 1065–1076. https://doi.org/10.1007/s00170-020-06413-4

Mughal, M. P., Farooq, M. U., Mumtaz, J., Mia, M., Shareef, M., Javed, M., Jamil, M., & Pruncu, C. I. (2021). Surface modification for osseointegration of Ti6Al4V ELI using powder mixed sinking EDM. Journal of the Mechanical Behavior of Biomedical Materials, 113. https://doi.org/10.1016/j.jmbbm.2020.104145

Gupta, M. K., Song, Q., Liu, Z., Sarikaya, M., Jamil, M., Mia, M., Khanna, N., & Krolczyk, G. M. (2021). Experimental characterisation of the performance of hybrid cryo-lubrication assisted turning of Ti–6Al–4V alloy. Tribology International, 153. https://doi.org/10.1016/j.triboint.2020.106582

Markopoulos, A. P., Karkalos, N. E., Mia, M., Pimenov, D. Y., Gupta, M. K., Hegab, H., Khanna, N., Balogun, V. A., & Sharma, S. (2020). Sustainability assessment, investigations, and modelling of slot milling characteristics in eco-benign machining of hardened steel. Metals, 10(12), 1–17. https://doi.org/10.3390/met10121650

Kapłonek, W., Mikolajczyk, T., Pimenov, D. Y., Gupta, M. K., Mia, M., Sharma, S., Patra, K., & Sutowska, M. (2020). High-accuracy 3D optical profilometry for analysis of surface condition of modern circulated coins. Materials, 13(23), 1–19. https://doi.org/10.3390/ma13235371

Gupta, M. K., Song, Q., Liu, Z., Sarikaya, M., Jamil, M., Mia, M., Kushvaha, V., Singla, A. K., & Li, Z. (2020). Ecological, economical and technological perspectives based sustainability assessment in hybrid-cooling assisted machining of Ti-6Al-4 V alloy. Sustainable Materials and Technologies, 26. https://doi.org/10.1016/j.susmat.2020.e00218

Singh, R., Dureja, J. S., Dogra, M., Kumar Gupta, M., Jamil, M., & Mia, M. (2020). Evaluating the sustainability pillars of energy and environment considering carbon emissions under machining ofTi-3Al-2.5 V. Sustainable Energy Technologies and Assessments, 42. https://doi.org/10.1016/j.seta.2020.100806

Khan, A. M., Anwar, S., Gupta, M. K., Alfaify, A., Hasnain, S., Jamil, M., Mia, M., & Pimenov, D. Y. (2020). Energy-based novel quantifiable sustainability value assessment method for machining processes. Energies, 13(22). https://doi.org/10.3390/en13226144

Paese, E., Geier, M., Rodrigues, F. R., Mikolajczyk, T., & Mia, M. (2020). Assessment of cvd-and pvd-coated carbides and pvd-coated cermet inserts in the optimization of surface roughness in turning of aisi 1045 steel. Materials, 13(22), 1–26. https://doi.org/10.3390/ma13225231

Chohan, J. S., Kumar, R., Singh, T. C. B., Singh, S., Sharma, S., Singh, J., Mia, M., Pimenov, D. Y., Chattopadhyaya, S., Dwivedi, S. P., & Kapłonek, W. (2020). Taguchi s/n and topsis based optimization of fused deposition modelling and vapor finishing process for manufacturing of ABS plastic parts. Materials, 13(22), 1–15. https://doi.org/10.3390/ma13225176

Anand, V. K., Aherwar, A., Mia, M., Elfakir, O., & Wang, L. (2020). Influence of silicon carbide and porcelain on tribological performance of Al6061 based hybrid composites. Tribology International, 151. https://doi.org/10.1016/j.triboint.2020.106514

Chohan, J. S., Mittal, N., Kumar, R., Singh, S., Sharma, S., Singh, J., Rao, K. V, Mia, M., Pimenov, D. Y., & Dwivedi, S. P. (2020). Mechanical strength enhancement of 3d printed acrylonitrile butadiene styrene polymer components using neural network optimization algorithm. Polymers, 12(10), 1–18. https://doi.org/10.3390/polym12102250

Sutowska, M., Kapłonek, W., Pimenov, D. Y., Gupta, M. K., Mia, M., & Sharma, S. (2020). Influence of variable radius of cutting head trajectory on quality of cutting kerf in the abrasive water jet process for soda-lime glass. Materials, 13(19). https://doi.org/10.3390/MA13194277

Nguyen, T.-T., & Mia, M. (2020). Modeling and evaluation of energy efficiency of new hybrid turning-burnishing process in terms of surface properties. Energies, 13(18). https://doi.org/10.3390/en13184929

Rahman, M. A., Rahman, M., Mia, M., Gupta, M. K., Sen, B., & Ahmed, A. (2020). Investigation of the specific cutting energy and its effect in shearing dominant precision micro cutting. Journal of Materials Processing Technology, 283. https://doi.org/10.1016/j.jmatprotec.2020.116688

Jamil, M., Khan, A. M., Gupta, M. K., Mia, M., He, N., Li, L., & Sivalingam, V. (2020). Influence of CO2-snow and subzero MQL on thermal aspects in the machining of Ti-6Al-4V. Applied Thermal Engineering, 177. https://doi.org/10.1016/j.applthermaleng.2020.115480

Sivalingam, V., Zan, Z., Sun, J., Selvam, B., Gupta, M. K., Jamil, M., & Mia, M. (2020). Wear behaviour of whisker-reinforced ceramic tools in the turning of Inconel 718 assisted by an atomized spray of solid lubricants. Tribology International, 148. https://doi.org/10.1016/j.triboint.2020.106235

Sen, B., Gupta, M. K., Mia, M., Mandal, U. K., & Mondal, S. P. (2020). Wear behaviour of TiAlN coated solid carbide end-mill under alumina enriched minimum quantity palm oil-based lubricating condition. Tribology International, 148. https://doi.org/10.1016/j.triboint.2020.106310

Babbar, A., Prakash, C., Singh, S., Gupta, M. K., Mia, M., & Pruncu, C. I. (2020). Application of hybrid nature-inspired algorithm: Single and bi-objective constrained optimization of magnetic abrasive finishing process parameters. Journal of Materials Research and Technology, 9(4), 7961–7974. https://doi.org/10.1016/j.jmrt.2020.05.003

Khanna, N., Suri, N. M., Shah, P., Hegab, H., & Mia, M. (2020). Cryogenic turning of in-house cast magnesium based MMCs: A comprehensive investigation. Journal of Materials Research and Technology, 9(4), 7628–7643. https://doi.org/10.1016/j.jmrt.2020.05.023

Aslantas, K., Danish, M., Hasçelik, A., Mia, M., Gupta, M., Ginta, T., & Ijaz, H. (2020). investigations on surface roughness and toolwear characteristics in micro-turning of Ti-6Al-4V alloy. Materials, 13(13), 1–20. https://doi.org/10.3390/ma13132998

Nguyen, T.-T., Tran, V.-T., & Mia, M. (2020). Multi-response optimization of electrical discharge drilling process of SS304 for energy efficiency, product quality, and productivity. Materials, 13(13). https://doi.org/10.3390/ma13132897

Nguyen, T.-T., Duong, Q.-D., & Mia, M. (2020). Sustainability-based optimization of the rotary turning of the hardened steel. Metals, 10(7), 1–22. https://doi.org/10.3390/met10070939

Sen, B., Mia, M., Mandal, U. K., & Mondal, S. P. (2020). Synergistic effect of silica and pure palm oil on the machining performances of Inconel 690: A study for promoting minimum quantity nano doped-green lubricants. Journal of Cleaner Production, 258. https://doi.org/10.1016/j.jclepro.2020.120755

Laghari, R. A., Li, J., & Mia, M. (2020). Effects of turning parameters and parametric optimization of the cutting forces in machining SiCp/Al 45 wt% composite. Metals, 10(6), 1–22. https://doi.org/10.3390/met10060840

Khan, A. M., Jamil, M., Mia, M., He, N., Zhao, W., & Gong, L. (2020). Sustainability-based performance evaluation of hybrid nanofluid assisted machining: Sustainability assessment of hybrid nanofluid assisted machining. Journal of Cleaner Production, 257. https://doi.org/10.1016/j.jclepro.2020.120541

Khan, A. M., Gupta, M. K., Hegab, H., Jamil, M., Mia, M., He, N., Song, Q., Liu, Z., & Pruncu, C. I. (2020). Energy-based cost integrated modelling and sustainability assessment of Al-GnP hybrid nanofluid assisted turning of AISI52100 steel. Journal of Cleaner Production, 257. https://doi.org/10.1016/j.jclepro.2020.120502

Jamil, M., Khan, A. M., Hegab, H., Mia, M., & Gupta, M. K. (2020). Modeling, multi-objective optimization and cost estimation of bone drilling under micro-cooling spray technique: an integrated analysis. International Journal on Interactive Design and Manufacturing, 14(2), 435–450. https://doi.org/10.1007/s12008-019-00635-x

Gupta, M. K., Mia, M., Jamil, M., Singh, R., Singla, A. K., Song, Q., Liu, Z., Khan, A. M., Rahman, M. A., & Sarikaya, M. (2020). Machinability investigations of hardened steel with biodegradable oil-based MQL spray system. International Journal of Advanced Manufacturing Technology, 108(3), 735–748. https://doi.org/10.1007/s00170-020-05477-6

Singh, R., Dureja, J. S., Dogra, M., Gupta, M. K., Mia, M., & Song, Q. (2020). Wear behavior of textured tools under graphene-assisted minimum quantity lubrication system in machining Ti-6Al-4V alloy. Tribology International, 145. https://doi.org/10.1016/j.triboint.2020.106183

Choudhary, A., Kumar, M., Gupta, M. K., Unune, D. K., & Mia, M. (2020). Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms. Neural Computing and Applications, 32(10), 5761–5774. https://doi.org/10.1007/s00521-019-04404-5

Jamil, M., Khan, A. M., Hegab, H., Gupta, M. K., Mia, M., He, N., Zhao, G., Song, Q., & Liu, Z. (2020). Milling of Ti–6Al–4V under hybrid Al2O3-MWCNT nanofluids considering energy consumption, surface quality, and tool wear: a sustainable machining. International Journal of Advanced Manufacturing Technology, 107(9–10), 4141–4157. https://doi.org/10.1007/s00170-020-05296-9

Gupta, M. K., Mia, M., Pruncu, C. I., Khan, A. M., Rahman, M. A., Jamil, M., & Sharma, V. S. (2020). Modeling and performance evaluation of Al2O3, MoS2 and graphite nanoparticle-assisted MQL in turning titanium alloy: an intelligent approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42(4). https://doi.org/10.1007/s40430-020-2256-z

Sahoo, P., Patra, K., Singh, V. K., Gupta, M. K., Song, Q., Mia, M., & Pimenov, D. Y. (2020). Influences of TiAlN coating and limiting angles of flutes on prediction of cutting forces and dynamic stability in micro milling of die steel (P-20). Journal of Materials Processing Technology, 278. https://doi.org/10.1016/j.jmatprotec.2019.116500

Gupta, M. K., Song, Q., Liu, Z., Pruncu, C. I., Mia, M., Singh, G., Lozano, J. A., Carou, D., Khan, A. M., Jamil, M., & Pimenov, D. Y. (2020). Machining characteristics based life cycle assessment in eco-benign turning of pure titanium alloy. Journal of Cleaner Production, 251. https://doi.org/10.1016/j.jclepro.2019.119598

Nguyen, T.-T., Mia, M., Dang, X.-P., Le, C.-H., & Packianather, M. S. (2020). Green machining for the dry milling process of stainless steel 304. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 234(5), 881–899. https://doi.org/10.1177/0954405419888126

Kapłonek, W., Nadolny, K., Rokosz, K., Marciano, J., Mia, M., Pimenov, D. Y., Kulik, O., & Gupta, M. K. (2020). Internal cylindrical grinding process of INCONEL® alloy 600 using grinding wheels with sol-gel alumina and a synthetic organosilicon polymer-based impregnate. Micromachines, 11(2). https://doi.org/10.3390/mi11020115

Ranjan, J., Patra, K., Szalay, T., Mia, M., Gupta, M. K., Song, Q., Krolczyk, G., Chudy, R., Pashnyov, V. A., & Pimenov, D. Y. (2020). Artificial intelligence-based hole quality prediction in micro-drilling using multiple sensors. Sensors (Switzerland), 20(3). https://doi.org/10.3390/s20030885

Gupta, M. K., Singla, A. K., Ji, H., Song, Q., Liu, Z., Cai, W., Mia, M., Khanna, N., & Krolczyk, G. M. (2020). Impact of layer rotation on micro-structure, grain size, surface integrity and mechanical behaviour of SLM Al-Si-10Mg alloy. Journal of Materials Research and Technology, 9(5), 9506–9522. https://doi.org/10.1016/j.jmrt.2020.06.090

Mushtaq, R. T., Wang, Y., Rehman, M., Khan, A. M., & Mia, M. (2020). State-of-the-art and trends in CO2 laser cutting of polymeric materials-A review. Materials, 13(17). https://doi.org/10.3390/ma13173839

Singh, G., Gupta, M. K., Hegab, H., Khan, A. M., Song, Q., Liu, Z., Mia, M., Jamil, M., Sharma, V. S., Sarikaya, M., & Pruncu, C. I. (2020). Progress for sustainability in the mist assisted cooling techniques: a critical review. International Journal of Advanced Manufacturing Technology, 109(1–2), 345–376. https://doi.org/10.1007/s00170-020-05529-x

Jamil, M., Rafique, S., Khan, A. M., Hegab, H., Mia, M., Gupta, M. K., & Song, Q. (2020). Comprehensive analysis on orthopedic drilling: A state-of-the-art review. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 234(6), 537–561. https://doi.org/10.1177/0954411920911283

Krolczyk, G. M., Maruda, R. W., Krolczyk, J. B., Wojciechowski, S., Mia, M., Nieslony, P., & Budzik, G. (2019). Ecological trends in machining as a key factor in sustainable production – A review. Journal of Cleaner Production, 218, 601–615. https://doi.org/10.1016/j.jclepro.2019.02.017

Sen, B., Mia, M., Mandal, U. K., Dutta, B., & Mondal, S. P. (2019). Multi-objective optimization for MQL-assisted end milling operation: an intelligent hybrid strategy combining GEP and NTOPSIS. Neural Computing and Applications, 31(12), 8693–8717. https://doi.org/10.1007/s00521-019-04450-z

Darshan, C., Jain, S., Dogra, M., Gupta, M. K., Mia, M., & Haque, R. (2019). Influence of dry and solid lubricant-assisted MQL cooling conditions on the machinability of Inconel 718 alloy with textured tool. International Journal of Advanced Manufacturing Technology, 105(5–6), 1835–1849. https://doi.org/10.1007/s00170-019-04221-z

Katoch, S., Sehgal, R., Singh, V., Gupta, M. K., Mia, M., & Pruncu, C. I. (2019). Improvement of tribological behavior of H-13 steel by optimizing the cryogenic-treatment process using evolutionary algorithms. Tribology International, 140. https://doi.org/10.1016/j.triboint.2019.105895

Jamil, M., Khan, A. M., He, N., Li, L., Iqbal, A., & Mia, M. (2019). Evaluation of machinability and economic performance in cryogenic-assisted hard turning of α-β titanium: a step towards sustainable manufacturing. Machining Science and Technology, 23(6), 1022–1046. https://doi.org/10.1080/10910344.2019.1652312

Singh, R., Dureja, J. S., Dogra, M., Gupta, M. K., & Mia, M. (2019). Influence of graphene-enriched nanofluids and textured tool on machining behavior of Ti-6Al-4V alloy. International Journal of Advanced Manufacturing Technology, 105(1–4), 1685–1697. https://doi.org/10.1007/s00170-019-04377-8

Abbas, A. T., Gupta, M. K., Soliman, M. S., Mia, M., Hegab, H., Luqman, M., & Pimenov, D. Y. (2019). Sustainability assessment associated with surface roughness and power consumption characteristics in nanofluid MQL-assisted turning of AISI 1045 steel. International Journal of Advanced Manufacturing Technology, 105(1–4), 1311–1327. https://doi.org/10.1007/s00170-019-04325-6

Sen, B., Mia, M., Mandal, U. K., & Mondal, S. P. (2019). GEP- and ANN-based tool wear monitoring: a virtually sensing predictive platform for MQL-assisted milling of Inconel 690. International Journal of Advanced Manufacturing Technology, 105(1–4), 395–410. https://doi.org/10.1007/s00170-019-04187-y

Khanna, N., Airao, J., Gupta, M. K., Song, Q., Liu, Z., Mia, M., Maruda, R., & Krolczyk, G. (2019). Optimization of power consumption associated with surface roughness in ultrasonic assisted turning of Nimonic-90 using hybrid particle swarm-simplex method. Materials, 12(20). https://doi.org/10.3390/ma12203418

Jamil, M., Khan, A. M., Mia, M., Iqbal, A., Gupta, M. K., & Sen, B. (2019). Evaluating the effect of micro-lubrication in orthopedic drilling. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 233(10), 1024–1041. https://doi.org/10.1177/0954411919865389

Darshan, C., Jain, S., Dogra, M., Gupta, M. K., & Mia, M. (2019). Machinability improvement in Inconel-718 by enhanced tribological and thermal environment using textured tool. Journal of Thermal Analysis and Calorimetry, 138(1), 273–285. https://doi.org/10.1007/s10973-019-08121-y

Sen, B., Hussain, S. A. I., Mia, M., Mandal, U. K., & Mondal, S. P. (2019). Selection of an ideal MQL-assisted milling condition: an NSGA-II-coupled TOPSIS approach for improving machinability of Inconel 690. International Journal of Advanced Manufacturing Technology, 103(5–8), 1811–1829. https://doi.org/10.1007/s00170-019-03620-6

Jamil, M., Khan, A. M., Hegab, H., Sarfraz, S., Sharma, N., Mia, M., Gupta, M. K., Zhao, G., Moustabchir, H., & Pruncu, C. I. (2019). Internal cracks and non-metallic inclusions as root causes of casting failure in sugar mill roller shafts. Materials, 12(15). https://doi.org/10.3390/ma12152474

Sen, B., Mia, M., Gupta, M. K., Rahman, M. A., Mandal, U. K., & Mondal, S. P. (2019). Influence of Al2O3 and palm oil–mixed nano-fluid on machining performances of Inconel-690: IF-THEN rules–based FIS model in eco-benign milling. International Journal of Advanced Manufacturing Technology, 103(9–12), 3389–3403. https://doi.org/10.1007/s00170-019-03814-y

Sharma, N., Singh, G., Gupta, M., Hegab, H., & Mia, M. (2019). Investigations of surface integrity, bio-activity and performance characteristics during wire-electrical discharge machining of Ti-6Al-7Nb biomedical alloy. Materials Research Express, 6(9). https://doi.org/10.1088/2053-1591/ab3094

Sharma, N., Singh, G., Hegab, H., Mia, M., & Batra, N. K. (2019). Tribo-corrosion characterization of NiTiCu alloy for bio-implant applications. Materials Research Express, 6(9). https://doi.org/10.1088/2053-1591/ab2d95

Mia, M., & Dhar, N. R. (2019). Prediction and optimization by using SVR, RSM and GA in hard turning of tempered AISI 1060 steel under effective cooling condition. Neural Computing and Applications, 31(7), 2349–2370. https://doi.org/10.1007/s00521-017-3192-4

Gupta, M. K., Mia, M., Pruncu, C. I., Kapłonek, W., Nadolny, K., Patra, K., Mikolajczyk, T., Pimenov, D. Y., Sarikaya, M., & Sharma, V. S. (2019). Parametric optimization and process capability analysis for machining of nickel-based superalloy. International Journal of Advanced Manufacturing Technology, 102(9–12), 3995–4009. https://doi.org/10.1007/s00170-019-03453-3

Jamil, M., Khan, A. M., Hegab, H., Gong, L., Mia, M., Gupta, M. K., & He, N. (2019). Effects of hybrid Al2O3-CNT nanofluids and cryogenic cooling on machining of Ti–6Al–4V. International Journal of Advanced Manufacturing Technology, 102(9–12), 3895–3909. https://doi.org/10.1007/s00170-019-03485-9

Singh, S., Singh, M., Prakash, C., Gupta, M. K., Mia, M., & Singh, R. (2019). Optimization and reliability analysis to improve surface quality and mechanical characteristics of heat-treated fused filament fabricated parts. International Journal of Advanced Manufacturing Technology, 102(5–8), 1521–1536. https://doi.org/10.1007/s00170-018-03276-8

Rajak, S. K., Aherwar, A., Unune, D. R., Mia, M., & Pruncu, C. I. (2019). Evaluation of copper-based alloy (C93200) composites reinforced with marble dust developed by stir casting under vacuum environment. Materials, 12(10). https://doi.org/10.3390/ma12101574

Meral, G., Sarıkaya, M., Mia, M., Dilipak, H., Şeker, U., & Gupta, M. K. (2019). Multi-objective optimization of surface roughness, thrust force, and torque produced by novel drill geometries using Taguchi-based GRA. International Journal of Advanced Manufacturing Technology, 101(5–8), 1595–1610. https://doi.org/10.1007/s00170-018-3061-z

Kapłonek, W., Nadolny, K., Sutowska, M., Mia, M., Pimenov, D. Y., & Gupta, M. K. (2019). Experimental studies on MoS2-treated grinding wheel active surface condition after high-efficiency internal cylindrical grinding process of INCONEL® alloy 718. Micromachines, 10(4). https://doi.org/10.3390/mi10040255

Prakash, C., Singh, S., Singh, M., Gupta, M. K., Mia, M., & Dhanda, A. (2019). Multi-objective parametric appraisal of pulsed current gas tungsten arc welding process by using hybrid optimization algorithms. International Journal of Advanced Manufacturing Technology, 101(1–4), 1107–1123. https://doi.org/10.1007/s00170-018-3017-3

Meral, G., Sarıkaya, M., Mia, M., Dilipak, H., & Şeker, U. (2019). Optimization of hole quality produced by novel drill geometries using the Taguchi S/N approach. International Journal of Advanced Manufacturing Technology, 101(1–4), 339–355. https://doi.org/10.1007/s00170-018-2956-z

Gupta, M. K., Mia, M., Singh, G. R., Pimenov, D. Y., Sarikaya, M., & Sharma, V. S. (2019). Hybrid cooling-lubrication strategies to improve surface topography and tool wear in sustainable turning of Al 7075-T6 alloy. International Journal of Advanced Manufacturing Technology, 101(1–4), 55–69. https://doi.org/10.1007/s00170-018-2870-4

Mia, M., Królczyk, G., Maruda, R., & Wojciechowski, S. (2019). Intelligent optimization of hard-turning parameters using evolutionary algorithms for smart manufacturing. Materials, 12(6). https://doi.org/10.3390/ma12060879

Khan, A. M., Jamil, M., Salonitis, K., Sarfraz, S., Zhao, W., He, N., Mia, M., & Zhao, G. (2019). Multi-objective optimization of energy consumption and surface quality in nanofluid SQCl assisted face milling. Energies, 12(4). https://doi.org/10.3390/en12040710

Mia, M., Gupta, M. K., Lozano, J. A., Carou, D., Pimenov, D. Y., Królczyk, G., Khan, A. M., & Dhar, N. R. (2019). Multi-objective optimization and life cycle assessment of eco-friendly cryogenic N2 assisted turning of Ti-6Al-4V. Journal of Cleaner Production, 210, 121–133. https://doi.org/10.1016/j.jclepro.2018.10.334

Mia, M., & Dhar, N. R. (2019). Influence of single and dual cryogenic jets on machinability characteristics in turning of Ti-6Al-4V. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 233(3), 711–726. https://doi.org/10.1177/0954405417737581

Kumar, P., Chauhan, S. R., Pruncu, C. I., Gupta, M. K., Pimenov, D. Y., Mia, M., & Gill, H. S. (2019). Influence of different grades of CBN inserts on cutting force and surface roughness of AISI H13 die tool steel during hard turning operation. Materials, 12(1). https://doi.org/10.3390/ma12010177

Rahman, M. A., Rahman, M., Mia, M., Asad, A. B. M. A., & Fardin, A. (2019). Manufacturing of al alloy microrods by micro cutting in a micromachining center. Micromachines, 10(12). https://doi.org/10.3390/mi10120831

Gupta, M. K., Jamil, M., Wang, X., Song, Q., Liu, Z., Mia, M., Hegab, H., Khan, A. M., Collado, A. G., Pruncu, C. I., & Imran, G. M. S. (2019). Performance evaluation of vegetable oil-based nano-cutting fluids in environmentally friendly machining of inconel-800 alloy. Materials, 12(7). https://doi.org/10.3390/ma12172792

Ali, R. A., Mia, M., Khan, A. M., Chen, W., Gupta, M. K., & Pruncu, C. I. (2019). Multi-response optimization of face milling performance considering tool path strategies in machining of Al-2024. Materials, 12(7). https://doi.org/10.3390/ma12071013

Singh, G., Pruncu, C. I., Gupta, M. K., Mia, M., Khan, A. M., Jamil, M., Pimenov, D. Y., Sen, B., & Sharma, V. S. (2019). Investigations of machining characteristics in the upgraded MQL-assisted turning of pure titanium alloys using evolutionary algorithms. Materials, 12(6). https://doi.org/10.3390/ma12060999

Mikolajczyk, T., Pimenov, D. Y., Pruncu, C. I., Patra, K., Latos, H., Krolczyk, G., Mia, M., Klodowski, A., & Gupta, M. K. (2019). Obtaining various shapes of machined surface using a tool with a multi-insert cutting edge. Applied Sciences (Switzerland), 9(5). https://doi.org/10.3390/app9050880

Pimenov, D. Y., Hassui, A., Wojciechowski, S., Mia, M., Magri, A., Suyama, D. I., Bustillo, A., Krolczyk, G., & Gupta, M. K. (2019). Effect of the relative position of the face milling tool towards the workpiece on machined surface roughness and milling dynamics. Applied Sciences (Switzerland), 9(5). https://doi.org/10.3390/app9050842

Mikolajczyk, T., Paczkowski, T., Pimenov, D. Y., Mia, M., Patra, K., Krolczyk, G., Gupta, M. K., & Zdrojewski, J. (2019). Analysis of the deviation in a low-cost system for stepless digital control of conventional lathe spindle speeds. Applied Sciences (Switzerland), 9(1). https://doi.org/10.3390/app9010012

Mia, M., Rifat, A., Tanvir, M. F., Gupta, M. K., Hossain, M. J., & Goswami, A. (2018). Multi-objective optimization of chip-tool interaction parameters using Grey-Taguchi method in MQL-assisted turning. Measurement: Journal of the International Measurement Confederation, 129, 156–166. https://doi.org/10.1016/j.measurement.2018.07.014

Khan, A. M., Jamil, M., Mia, M., Pimenov, D. Y., Gasiyarov, V. R., Gupta, M. K., & He, N. (2018). Multi-objective optimization for grinding of AISI D2 steel with Al2O3 wheel under MQL. Materials, 11(11). https://doi.org/10.3390/ma11112269

Gupta, M. K., Pruncu, C. I., Mia, M., Singh, G., Singh, S., Prakash, C., Sood, P. K., & Gill, H. S. (2018). Machinability investigations of Inconel-800 super alloy under sustainable cooling conditions. Materials, 11(11). https://doi.org/10.3390/ma11112088

Pimenov, D. Y., Guzeev, V. I., Krolczyk, G., Mia, M., & Wojciechowski, S. (2018). Modeling flatness deviation in face milling considering angular movement of the machine tool system components and tool flank wear. Precision Engineering, 54, 327–337. https://doi.org/10.1016/j.precisioneng.2018.07.001

Prakash, C., Singh, S., Gupta, M. K., Mia, M., Królczyk, G., & Khanna, N. (2018). Synthesis, characterization, corrosion resistance and in-vitro bioactivity behavior of biodegradable Mg-Zn-Mn-(Si-HA) composite for orthopaedic applications. Materials, 11(9). https://doi.org/10.3390/ma11091602

Mia, M., Singh, G., Gupta, M. K., & Sharma, V. S. (2018). Influence of Ranque-Hilsch vortex tube and nitrogen gas assisted MQL in precision turning of Al 6061-T6. Precision Engineering, 53, 289–299. https://doi.org/10.1016/j.precisioneng.2018.04.011

Singh, G. R., Gupta, M. K., Mia, M., & Sharma, V. S. (2018). Modeling and optimization of tool wear in MQL-assisted milling of Inconel 718 superalloy using evolutionary techniques. International Journal of Advanced Manufacturing Technology, 97(1–4), 481–494. https://doi.org/10.1007/s00170-018-1911-3

Mia, M., Dey, P. R., Hossain, M. S., Arafat, M. T., Asaduzzaman, M., Shoriat Ullah, M., & Tareq Zobaer, S. M. (2018). Taguchi S/N based optimization of machining parameters for surface roughness, tool wear and material removal rate in hard turning under MQL cutting condition. Measurement: Journal of the International Measurement Confederation, 122, 380–391. https://doi.org/10.1016/j.measurement.2018.02.016

Mia, M., Gupta, M. K., Singh, G., Królczyk, G., & Pimenov, D. Y. (2018). An approach to cleaner production for machining hardened steel using different cooling-lubrication conditions. Journal of Cleaner Production, 187, 1069–1081. https://doi.org/10.1016/j.jclepro.2018.03.279

Mia, M. (2018). Mathematical modeling and optimization of MQL assisted end milling characteristics based on RSM and Taguchi method. Measurement: Journal of the International Measurement Confederation, 121, 249–260. https://doi.org/10.1016/j.measurement.2018.02.017

Bashir, M. A., Mia, M., & Dhar, N. R. (2018). Investigations on Surface Milling of Hardened AISI 4140 Steel with Pulse Jet MQL Applicator. Journal of The Institution of Engineers (India): Series C, 99(3), 301–314. https://doi.org/10.1007/s40032-016-0277-2

Mia, M., & Dhar, N. R. (2018). Modeling of Surface Roughness Using RSM, FL and SA in Dry Hard Turning. Arabian Journal for Science and Engineering, 43(3), 1125–1136. https://doi.org/10.1007/s13369-017-2754-1

Mia, M., Morshed, M. S., Kharshiduzzaman, M., Razi, M. H., Mostafa, M. R., Rahman, S. M. S., Ahmad, I., Hafiz, M. T., & Kamal, A. M. (2018). Prediction and optimization of surface roughness in minimum quantity coolant lubrication applied turning of high hardness steel. Measurement: Journal of the International Measurement Confederation, 118, 43–51. https://doi.org/10.1016/j.measurement.2018.01.012

Mia, M., & Dhar, N. R. (2018). Effects of duplex jets high-pressure coolant on machining temperature and machinability of Ti-6Al-4V superalloy. Journal of Materials Processing Technology, 252, 688–696. https://doi.org/10.1016/j.jmatprotec.2017.10.040

Mia, M. (2017). Multi-response optimization of end milling parameters under through-tool cryogenic cooling condition. Measurement: Journal of the International Measurement Confederation, 111, 134–145. https://doi.org/10.1016/j.measurement.2017.07.033

Mia, M., Khan, M. A., & Dhar, N. R. (2017). Study of surface roughness and cutting forces using ANN, RSM, and ANOVA in turning of Ti-6Al-4V under cryogenic jets applied at flank and rake faces of coated WC tool. International Journal of Advanced Manufacturing Technology, 93(1–4), 975–991. https://doi.org/10.1007/s00170-017-0566-9

Mia, M., Razi, M. H., Ahmad, I., Mostafa, R., Rahman, S. M. S., Ahmed, D. H., Dey, P. R., & Dhar, N. R. (2017). Effect of time-controlled MQL pulsing on surface roughness in hard turning by statistical analysis and artificial neural network. International Journal of Advanced Manufacturing Technology, 91(9–12), 3211–3223. https://doi.org/10.1007/s00170-016-9978-1

Khan, M. A., Mia, M., & Dhar, N. R. (2017). High-pressure coolant on flank and rake surfaces of tool in turning of Ti-6Al-4V: investigations on forces, temperature, and chips. International Journal of Advanced Manufacturing Technology, 90(5–8), 1977–1991. https://doi.org/10.1007/s00170-016-9511-6

Mia, M., Khan, M. A., & Dhar, N. R. (2017). High-pressure coolant on flank and rake surfaces of tool in turning of Ti-6Al-4V: investigations on surface roughness and tool wear. International Journal of Advanced Manufacturing Technology, 90(5–8), 1825–1834. https://doi.org/10.1007/s00170-016-9512-5

Mia, M., Khan, M. A., & Dhar, N. R. (2017). Performance prediction of high-pressure coolant assisted turning of Ti-6Al-4V. International Journal of Advanced Manufacturing Technology, 90(5–8), 1433–1445. https://doi.org/10.1007/s00170-016-9468-5

Mia, M., Khan, M. A., Rahman, S. S., & Dhar, N. R. (2017). Mono-objective and multi-objective optimization of performance parameters in high pressure coolant assisted turning of Ti-6Al-4V. International Journal of Advanced Manufacturing Technology, 90(1–4), 109–118. https://doi.org/10.1007/s00170-016-9372-z

Islam, A. K., Mia, M., & Dhar, N. R. (2017). Effects of internal cooling by cryogenic on the machinability of hardened steel. International Journal of Advanced Manufacturing Technology, 90(1–4), 11–20. https://doi.org/10.1007/s00170-016-9373-y

Mia, M., Bashir, M. A., Khan, M. A., & Dhar, N. R. (2017). Optimization of MQL flow rate for minimum cutting force and surface roughness in end milling of hardened steel (HRC 40). International Journal of Advanced Manufacturing Technology, 89(1–4), 675–690. https://doi.org/10.1007/s00170-016-9080-8

Mia, M., & Dhar, N. R. (2017). Optimization of surface roughness and cutting temperature in high-pressure coolant-assisted hard turning using Taguchi method. International Journal of Advanced Manufacturing Technology, 88(1–4), 739–753. https://doi.org/10.1007/s00170-016-8810-2

Mia, M., & Dhar, N. R. (2016). Response surface and neural network based predictive models of cutting temperature in hard turning. Journal of Advanced Research, 7(6), 1035–1044. https://doi.org/10.1016/j.jare.2016.05.004

Mia, M., Al Bashir, M., & Dhar, N. R. (2016). Modeling of Principal Flank Wear: An Empirical Approach Combining the Effect of Tool, Environment and Workpiece Hardness. Journal of The Institution of Engineers (India): Series C, 97(4), 517–526. https://doi.org/10.1007/s40032-016-0262-9

Mia, M., & Dhar, N. R. (2016). Prediction of surface roughness in hard turning under high pressure coolant using Artificial Neural Network. Measurement: Journal of the International Measurement Confederation, 92, 464–474. https://doi.org/10.1016/j.measurement.2016.06.048

Al Bashir, M., Mia, M., & Dhar, N. R. (2016). Effect of pulse jet MQL in surface milling of hardened dteel. Journal of Mechanical Engineering, 45(2), 67–72. https://doi.org/10.3329/JME.V45I2.28118