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Proceedings Papers

Optimizing Fused Deposition Modeling Processing Parameters Using Response Surface Method for Strong Parts

Ala’aldin Alafaghani, Ala Qattawi, Julia Truong, Md. Shah Jaman, Jian-Qiao Sun

Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A030, September 3, 2020

Paper No: MSEC2020-8528

DOI: https://doi.org/10.1115/MSEC2020-8528

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Topics: Experimental design, Mechanical properties, Modeling, Response surface methodology

Proceedings Papers

Prediction and Optimization of Surface Roughness and Cutting Force in Turning of UHMWPE by Using Taguchi Method, Response Surface Methodology and Neural Networks

Florin Susac, Felicia Stan, Catalin Fetecau, Irina Besliu

Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A035, September 3, 2020

Paper No: MSEC2020-8534

DOI: https://doi.org/10.1115/MSEC2020-8534

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Topics: Artificial neural networks, Cutting, Optimization, Response surface methodology, Surface roughness, Taguchi methods, Turning

Proceedings Papers

Multi-Objective Optimization of Wire Electrical Discharge Machined Ultra-Thin Silicon Wafers Using Response Surface Methodology for Solar Cell Applications

Pinal Rana, Divyanshu Bhartiya, Meinam Annebushan Singh, Deepak Marla

Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T08A021, September 3, 2020

Paper No: MSEC2020-8489

DOI: https://doi.org/10.1115/MSEC2020-8489

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Topics: Composite materials, Electrical discharge machining, Pareto optimization, Response surface methodology, Semiconductor wafers, Solar cells, Wire

Proceedings Papers

Modeling for Prediction of Surface Roughness and Experimental Research in Ultra-Precision Flycutting Machining

Jiasheng Li, Yang Jiao, Pinkuan Liu

Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A038, June 18–22, 2018

Paper No: MSEC2018-6725

DOI: https://doi.org/10.1115/MSEC2018-6725

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Topics: Machining, Modeling, Surface roughness, Cutting, Copper, Surface quality, Diamond tools, Interferometers, Lasers, Response surface methodology

Proceedings Papers

Assessing the Geometric Integrity of Additive Manufactured Parts From Point Cloud Data Using Spectral Graph Theoretic Sparse Representation-Based Classification

M. Samie Tootooni, Ashley Dsouza, Ryan Donovan, Prahalad K. Rao, Zhenyu (James) Kong, Peter Borgesen

Proc. ASME. MSEC2017, Volume 2: Additive Manufacturing; Materials, V002T01A042, June 4–8, 2017

Paper No: MSEC2017-2794

DOI: https://doi.org/10.1115/MSEC2017-2794

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Topics: Additive manufacturing, Lasers, Extruding, Temperature, Eigenvalues, Experimental design, Geometric dimensioning and tolerancing, Geometry, Manufacturing, Modeling

Proceedings Papers

Investigation on Drilling Performance of Titanium Alloy Ti6Al4V Based on Response Surface Method

Zhaoju Zhu, Shaochun Sui, Jie Sun, Jianfeng Li, Kai Liu

Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A011, June 4–8, 2017

Paper No: MSEC2017-2926

DOI: https://doi.org/10.1115/MSEC2017-2926

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Topics: Drilling, Response surface methodology, Titanium alloys, Cutting, Thrust, Vibration, Surface roughness, Alloys, Mechanical admittance

Proceedings Papers

Energy Mapping and Optimization in Rough Machining of Impellers

Zhenhua Wu, Marthony Hobgood, Mathias Wolf

Proc. ASME. MSEC2016, Volume 3: Joint MSEC-NAMRC Symposia, V003T08A020, June 27–July 1, 2016

Paper No: MSEC2016-8719

DOI: https://doi.org/10.1115/MSEC2016-8719

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Topics: Impellers, Machining, Optimization, Surface roughness, Energy consumption, Ball mills, Cutting, Blades, Computer numerical control machine tools, Computer-aided manufacturing

Proceedings Papers

Fundamental Study on Delamination in Milling Kenaf Fiber Reinforced Plastic Composite (Unidirectional)

Azmi Harun, Che Hassan Che Haron, Jaharah A. Ghani, Suhaily Mokhtar, Asmawi Sanuddin

Proc. ASME. MSEC2016, Volume 1: Processing, V001T02A022, June 27–July 1, 2016

Paper No: MSEC2016-8531

DOI: https://doi.org/10.1115/MSEC2016-8531

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Topics: Composite materials, Delamination, Fiber reinforced plastics, Milling, Fibers, Modeling, Aircraft, Experimental design, Marine engineering, Optimization

Proceedings Papers

Multiobjective Optimization of End Milling HCHCr Using AlCrN PVD Coated Cutters With MOGA and RSMO

Shantisagar K. Biradar, Geeta S. Lathkar

Proc. ASME. MSEC2014, Volume 2: Processing, V002T02A053, June 9–13, 2014

Paper No: MSEC2014-4185

DOI: https://doi.org/10.1115/MSEC2014-4185

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Topics: Milling, Pareto optimization, Cutting, Machining, Surface roughness, Wear, Coating processes, Coatings, Design, Genetic algorithms

Proceedings Papers

Optimization of Input Variables in Ultrasonic Vibration-Assisted Pelleting of Cellulosic Biomass Using Multiple Response Surface Methodology

Qi Zhang, Pengfei Zhang, Shing Chang, Z. J. Pei, Donghai Wang

Proc. ASME. MSEC2013, Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing, V002T02A011, June 10–14, 2013

Paper No: MSEC2013-1044

DOI: https://doi.org/10.1115/MSEC2013-1044

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Topics: Biomass, Density, Durability, Optimization, Response surface methodology, Vibration

Proceedings Papers

An Investigation on Electrochemical Discharge Micro-Drilling of Glass

Mohammad Reza Razfar, Jun Ni, Ali Behroozfar, Shuhuai Lan

Proc. ASME. MSEC2013, Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing, V002T03A013, June 10–14, 2013

Paper No: MSEC2013-1135

DOI: https://doi.org/10.1115/MSEC2013-1135

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Topics: Drilling, Electrical discharge machining, Glass, Response surface methodology

Proceedings Papers

Dilute Acid Pretreatment of Wheat Straw: A Predictive Model for Energy Consumption Using Response Surface Methodology

Xiaoxu Song, Meng Zhang, Z. J. Pei, A. J. Nottingham, P. F. Zhang

Proc. ASME. MSEC2013, Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing, V002T04A010, June 10–14, 2013

Paper No: MSEC2013-1043

DOI: https://doi.org/10.1115/MSEC2013-1043

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Topics: Energy consumption, Response surface methodology

Proceedings Papers

Minimized Wear and Debris Generation Through Optimized Machining of Co-Cr-Mo Alloys for Use in Metal-on-Metal Hip Implants

Ashish Deshpande, Shu Yang, Dave Puleo, David Pienkowski, Oscar Dillon, Jr., Jose Outeiro, I. S. Jawahir

Proc. ASME. MSEC2012, ASME 2012 International Manufacturing Science and Engineering Conference, 297-305, June 4–8, 2012

Paper No: MSEC2012-7260

DOI: https://doi.org/10.1115/MSEC2012-7260

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Topics: Alloys, Hip joint prostheses, Machining, Metals, Wear, Residual stresses, Cutting, Geometry, Cycles, Microhardness

Proceedings Papers

Parametric Study of Process Parameters and Characterization of Surface Texture Using Rotational-Magnetorheological Abrasive Flow Finishing (R-MRAFF) Process

Manas Das, V. K. Jain, P. S. Ghoshdastidar

Proc. ASME. MSEC2009, ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2, 251-260, October 4–7, 2009

Paper No: MSEC2009-84320

DOI: https://doi.org/10.1115/MSEC2009-84320

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Topics: Finishing, Flow (Dynamics), Surface texture, Design, Polishing, Atomic force microscopy, Brass (Metal), Composite materials, Computer software, Cutting

Proceedings Papers

Some Investigations Into Magnetorheological Finishing (MRF) of Hard Materials

V. K. Jain, Pankaj Singh, Puneet Kumar, Ajay Sidpara, Manas Das, V. K. Suri, R. Balasubramaniam

Proc. ASME. MSEC2009, ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2, 261-270, October 4–7, 2009

Paper No: MSEC2009-84335

DOI: https://doi.org/10.1115/MSEC2009-84335

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Topics: Finishing, Hard materials, Finishes, Fluids, Particulate matter, Brass (Metal), Grinding, Magnetic fields, Polishing, Response surface methodology

Proceedings Papers

A Computational Response Surface Study of Curved-Surface-Curved-Edge Aluminum Hemming Using Solid-to-Shell Mapping

Guosong Lin, S. Jack Hu, Muammer Koc¸, Wayne Cai, Michael L. Wenner

Proc. ASME. MSEC2006, Manufacturing Science and Engineering, Parts A and B, 267-276, October 8–11, 2006

Paper No: MSEC2006-21031

DOI: https://doi.org/10.1115/MSEC2006-21031

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Topics: Aluminum, Composite materials, Design, Response surface methodology, Shells

NARROW

Optimizing Fused Deposition Modeling Processing Parameters Using Response Surface Method for Strong Parts

Prediction and Optimization of Surface Roughness and Cutting Force in Turning of UHMWPE by Using Taguchi Method, Response Surface Methodology and Neural Networks

Multi-Objective Optimization of Wire Electrical Discharge Machined Ultra-Thin Silicon Wafers Using Response Surface Methodology for Solar Cell Applications

Modeling for Prediction of Surface Roughness and Experimental Research in Ultra-Precision Flycutting Machining

Assessing the Geometric Integrity of Additive Manufactured Parts From Point Cloud Data Using Spectral Graph Theoretic Sparse Representation-Based Classification

Investigation on Drilling Performance of Titanium Alloy Ti6Al4V Based on Response Surface Method

Energy Mapping and Optimization in Rough Machining of Impellers

Fundamental Study on Delamination in Milling Kenaf Fiber Reinforced Plastic Composite (Unidirectional)

Multiobjective Optimization of End Milling HCHCr Using AlCrN PVD Coated Cutters With MOGA and RSMO

Optimization of Input Variables in Ultrasonic Vibration-Assisted Pelleting of Cellulosic Biomass Using Multiple Response Surface Methodology

An Investigation on Electrochemical Discharge Micro-Drilling of Glass

Dilute Acid Pretreatment of Wheat Straw: A Predictive Model for Energy Consumption Using Response Surface Methodology

Minimized Wear and Debris Generation Through Optimized Machining of Co-Cr-Mo Alloys for Use in Metal-on-Metal Hip Implants

Parametric Study of Process Parameters and Characterization of Surface Texture Using Rotational-Magnetorheological Abrasive Flow Finishing (R-MRAFF) Process

Some Investigations Into Magnetorheological Finishing (MRF) of Hard Materials

A Computational Response Surface Study of Curved-Surface-Curved-Edge Aluminum Hemming Using Solid-to-Shell Mapping

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