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Research Article

Experimental investigation and optimization of cutting parameters with multi response characteristics in MQL turning of AISI 4340 using nano fluid

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Article: 1303956 | Received 12 Jan 2017, Accepted 03 Mar 2017, Published online: 28 Mar 2017

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Mst. Nazma Sultana, Prianka B. Zaman & N. R. Dhar. (2022) Hybrid Taguchi-PCA-utility approach for simultaneous optimisation of multiple responses in turning alloy steel. Advances in Materials and Processing Technologies 8:4, pages 3597-3614.
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Rahul Anand, Ankush Raina, Mir Irfan Ul Haq, M. J. Mir, Ovais Gulzar & M. F. Wani. (2021) Synergism of TiO2 and Graphene as Nano-Additives in Bio-Based Cutting Fluid—An Experimental Investigation. Tribology Transactions 64:2, pages 350-366.
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Soroush Masoudi, Ana Vafadar, Mohammadjafar Hadad & Farshid Jafarian. (2018) Experimental investigation into the effects of nozzle position, workpiece hardness, and tool type in MQL turning of AISI 1045 steel. Materials and Manufacturing Processes 33:9, pages 1011-1019.
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Sheth Pushpak Chandrakant & Bhaveshkumar K. Patel. (2023) A Review on the Effect of Minimum Quantity Lubrication on Different Machining Parameters Emphasizing Vegetable Oil-Based Lubricants for Sustainable Manufacturing. Advanced Materials Research 1175, pages 107-122.
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Amine Hamdi & Sidi Mohammed Merghache. (2023) Application of artificial neural networks (ANN) and gray relational analysis (GRA) to modeling and optimization of the material ratio curve parameters when turning hard steel. The International Journal of Advanced Manufacturing Technology 124:10, pages 3657-3670.
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Rahul R. Chakule, Sharad S. Chaudhari, Kailas V. Chandratre, Pralhad B. Patole & Poonam S. Talmale. (2023) Nanofluids, micro-lubrications and machining process optimisations − a review. Manufacturing Review 10, pages 1.
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A Varun, Mechiri Sandeep Kumar, Karthik Murumulla & Tatiparthi Sathvik. (2021) Surface Roughness Prediction using Machine Learning Algorithms while Turning under Different Lubrication Conditions. Journal of Physics: Conference Series 2070:1, pages 012243.
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Shrikant U. Gunjal & Sudarshan B. Sanap. 2021. Techno-Societal 2020. Techno-Societal 2020 675 681 .
Muhammad Abas, Bashir Salah, Qazi Salman Khalid, Iftikhar Hussain, Abdur Rehman Babar, Rashid Nawaz, Razaullah Khan & Waqas Saleem. (2020) Experimental Investigation and Statistical Evaluation of Optimized Cutting Process Parameters and Cutting Conditions to Minimize Cutting Forces and Shape Deviations in Al6026-T9. Materials 13:19, pages 4327.
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Anshuman Das, S.K. Patel, B.B. Biswal, Nilamani Sahoo & Ashish Pradhan. (2020) Performance evaluation of various cutting fluids using MQL technique in hard turning of AISI 4340 alloy steel. Measurement 150, pages 107079.
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Rabinarayan Bag, Amlana Panda, Ashok Kumar Sahoo & Ramanuj Kumar. (2020) A brief study on effects of nano cutting fluids in hard turning of AISI 4340 steel. Materials Today: Proceedings 26, pages 3094-3099.
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Ramanuj Kumar, Ashok Kumar Sahoo, Purna Chandra Mishra & Rabin Kumar Das. (2019) Influence of Al2O3 and TiO2 nanofluid on hard turning performance. The International Journal of Advanced Manufacturing Technology 106:5-6, pages 2265-2280.
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Adel T. Abbas, Faycal Benyahia, Magdy M. El Rayes, Catalin Pruncu, Mohamed A. Taha & Hussien Hegab. (2019) Towards Optimization of Machining Performance and Sustainability Aspects when Turning AISI 1045 Steel under Different Cooling and Lubrication Strategies. Materials 12:18, pages 3023.
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Anshuman Das, Saroj Kumar Patel & Sudhansu Ranjan Das. (2019) Performance comparison of vegetable oil based nanofluids towards machinability improvement in hard turning of HSLA steel using minimum quantity lubrication. Mechanics & Industry 20:5, pages 506.
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Battula Narayana & Sriram Venkatesh. (2019) Parametric Optimization For A Quality Prototype From Selective Laser Sintering: Grey Taguchi Method. Materials Today: Proceedings 18, pages 4271-4280.
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Gilberto E. García, Federico Trigos, Demófilo Maldonado-Cortés & Laura Peña-Parás. (2018) Optimization of surface roughness on slitting knives by titanium dioxide nano particles as an additive in grinding lubricant. The International Journal of Advanced Manufacturing Technology 96:9-12, pages 4111-4121.
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M. Zohoor & S. Yousefi. (2018) Experimental investigation of the effect of processing parameters on the surface roughness operation for using as expert system database. Journal of the Brazilian Society of Mechanical Sciences and Engineering 40:5.
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H. Hegab, U. Umer, I. Deiab & H. Kishawy. (2018) Performance evaluation of Ti–6Al–4V machining using nano-cutting fluids under minimum quantity lubrication. The International Journal of Advanced Manufacturing Technology 95:9-12, pages 4229-4241.
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Pralhad B. Patole & Vivek V. Kulkarni. (2018) Prediction of surface roughness and cutting force under MQL turning of AISI 4340 with nano fluid by using response surface methodology. Manufacturing Review 5, pages 5.
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