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Proceedings Papers

Dimensional Deviation Prediction Model Based on Scale and Material Concentration Effects for LPBF Process

Sabrine Ben Amor, Floriane Zongo, Borhen Louhichi, Antoine Tahan, Vladimir Brailovski
Proc. ASME. IAM2022, 2022 International Additive Manufacturing Conference, V001T02A005, October 19–20, 2022
Paper No: IAM2022-93969
DOI: https://doi.org/10.1115/IAM2022-93969
View Paper titled, Dimensional Deviation Prediction Model Based on Scale and Material Concentration Effects for LPBF Process
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Topics: Additive manufacturing, Finite element analysis, Lasers, Machinery, Manufacturing, Numerical analysis, Product development, Stairs, Surface roughness
Proceedings Papers

Surface Roughness Prediction for Additively Manufactured Ti-6Al-4V Components Based on Supervised Learning Models

Varad Maitra, Jing Shi
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T01A013, June 27–July 1, 2022
Paper No: MSEC2022-85329
DOI: https://doi.org/10.1115/MSEC2022-85329
View Paper titled, Surface Roughness Prediction for Additively Manufactured Ti-6Al-4V Components Based on Supervised Learning Models
Click here to open pdf in another window PDF for Surface Roughness Prediction for Additively Manufactured Ti-6Al-4V Components Based on Supervised Learning Models
Topics: Additive manufacturing, Alloys, Artificial neural networks, Lasers, Melting, Surface roughness
Proceedings Papers

A Surface Roughness Characterization Method for Additively Manufactured Products

Andi Wang, Davoud Jafari, Tom H. J. Vaneker, Qiang Huang
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T01A031, June 27–July 1, 2022
Paper No: MSEC2022-85697
DOI: https://doi.org/10.1115/MSEC2022-85697
View Paper titled, A Surface Roughness Characterization Method for Additively Manufactured Products
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Topics: Additive manufacturing, Surface roughness
Proceedings Papers

Real-Time Structured Light Scanning Characterization of Surface Topography of Direct Energy Deposited 316L Stainless Steel

Weijun Shen, Xing Zhang, Yiliang Liao, Beiwen Li
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T04A016, June 27–July 1, 2022
Paper No: MSEC2022-85783
DOI: https://doi.org/10.1115/MSEC2022-85783
View Paper titled, Real-Time Structured Light Scanning Characterization of Surface Topography of Direct Energy Deposited 316L Stainless Steel
Click here to open pdf in another window PDF for Real-Time Structured Light Scanning Characterization of Surface Topography of Direct Energy Deposited 316L Stainless Steel
Topics: Stainless steel, Surface topography, Additive manufacturing, Lasers, Design, Durability, Inspection, Metrology, Optimization, Printing
Proceedings Papers

Mechanical and Metallurgical Characterization of Ultrafine Grained Titanium Laminates Developed by LSEM

Pushpinder Kumar, Ravinder Singh Joshi, Rohit Kumar Singla
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T07A021, June 27–July 1, 2022
Paper No: MSEC2022-85839
DOI: https://doi.org/10.1115/MSEC2022-85839
View Paper titled, Mechanical and Metallurgical Characterization of Ultrafine Grained Titanium Laminates Developed by LSEM
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Topics: Deformation, Electron backscatter diffraction, Laminates, Titanium, Extruding, Machining, Surface roughness, Aerospace industry, Annealing, Biomedicine
Proceedings Papers

Net-Shape Tensile Specimens as Representatives of Material Properties of Metal Additive Manufacturing: Evaluation and Correction Factor

Nicholas Bass, Sagar Jalui, Guha Manogharan
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T05A029, June 27–July 1, 2022
Paper No: MSEC2022-85310
DOI: https://doi.org/10.1115/MSEC2022-85310
View Paper titled, Net-Shape Tensile Specimens as Representatives of Material Properties of Metal Additive Manufacturing: Evaluation and Correction Factor
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Topics: Additive manufacturing, Lasers, Materials properties, Mechanical testing, Metals, Shapes, Surface roughness
Proceedings Papers

Evolution of White Layer and Residual Stress in Electrical Discharge Machining

Guisen Wang, Fuzhu Han, Liang Zhu
Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A023, June 21–25, 2021
Paper No: MSEC2021-63573
DOI: https://doi.org/10.1115/MSEC2021-63573
View Paper titled, Evolution of White Layer and Residual Stress in Electrical Discharge Machining
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Topics: Electrical discharge machining, Stress, Surface roughness
Proceedings Papers

Development of Magnetic-Field Assisted Finishing (MAF) Process for Chromium-Alloyed Low Carbon Steel Sheet Metal

Guangchao Song, Bibek Poudel, Patrick Kwon, Haseung Chung, Zachary Detweiler, Guangchun Quan
Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A025, June 21–25, 2021
Paper No: MSEC2021-63614
DOI: https://doi.org/10.1115/MSEC2021-63614
View Paper titled, Development of Magnetic-Field Assisted Finishing (MAF) Process for Chromium-Alloyed Low Carbon Steel Sheet Metal
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Topics: Carbon steel, Finishing, Magnetic fields, Particulate matter, Sheet metal, Surface roughness
Proceedings Papers

Deformation Behavior of Grains Near Defects in Direct Metal Laser Sintered Inconel 718 During Indentation

Mustafa Rifat, Saurabh Basu
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A042, September 3, 2020
Paper No: MSEC2020-8442
DOI: https://doi.org/10.1115/MSEC2020-8442
View Paper titled, Deformation Behavior of Grains Near Defects in Direct Metal Laser Sintered Inconel 718 During Indentation
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Topics: Deformation, Finite element analysis, Imaging, Lasers, Metals, Microscopy, Porosity, Surface roughness
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
View Paper titled, Prediction and Optimization of Surface Roughness and Cutting Force in Turning of UHMWPE by Using Taguchi Method, Response Surface Methodology and Neural Networks
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Topics: Artificial neural networks, Cutting, Optimization, Response surface methodology, Surface roughness, Taguchi methods, Turning
Proceedings Papers

Experimental and Simulation Study of Incremental Forming for Titanium Grade 2 Sheet

Peeyush Mahajan, Mainak Pal, Rakesh Kumar, Anupam Agrawal
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T05A009, September 3, 2020
Paper No: MSEC2020-8524
DOI: https://doi.org/10.1115/MSEC2020-8524
View Paper titled, Experimental and Simulation Study of Incremental Forming for Titanium Grade 2 Sheet
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Topics: Finite element analysis, Simulation, Stress, Titanium, Fracture (Materials), Computer software, Corners (Structural elements), Deformation, Finishes, Fluids
Proceedings Papers

A Hybrid Physical Model Based Artificial Neural Network Approach to Predict Surface Texture in the Honing of Engine Cylinder Bore

Burhan Afzel, Xueping Zhang, Anil K. Srivastava
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A005, September 3, 2020
Paper No: MSEC2020-8219
DOI: https://doi.org/10.1115/MSEC2020-8219
View Paper titled, A Hybrid Physical Model Based Artificial Neural Network Approach to Predict Surface Texture in the Honing of Engine Cylinder Bore
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Topics: Artificial neural networks, Cylinders, Engine cylinders, Surface roughness, Surface texture
Proceedings Papers

Evaluation of Soybean Oil-Based MQL As a Potential Replacement for Emulsion Flood Cooling Strategy for High-Speed Face Milling of Inconel 718

Anthony Chukwujekwu Okafor, Theodore Obumselu Nwoguh
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T05A020, September 3, 2020
Paper No: MSEC2020-8316
DOI: https://doi.org/10.1115/MSEC2020-8316
View Paper titled, Evaluation of Soybean Oil-Based MQL As a Potential Replacement for Emulsion Flood Cooling Strategy for High-Speed Face Milling of Inconel 718
Click here to open pdf in another window PDF for Evaluation of Soybean Oil-Based MQL As a Potential Replacement for Emulsion Flood Cooling Strategy for High-Speed Face Milling of Inconel 718
Topics: Cooling, Cutting, Emulsions, Floods, Flow (Dynamics), Milling, Surface roughness, Wear, Machining, Abrasion
Proceedings Papers

Experimental Investigation of Electrochemical Micro Turning of Ti6Al4V With NaOH Solution

Arnab Das, Deepak Kumar, Mohan Kumar, Vivek Bajpai
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T08A007, September 3, 2020
Paper No: MSEC2020-8275
DOI: https://doi.org/10.1115/MSEC2020-8275
View Paper titled, Experimental Investigation of Electrochemical Micro Turning of Ti6Al4V With NaOH Solution
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Topics: Aerospace industry, Biomedicine, Electrodes, Electrolytes, Finishes, Machinery, Machining, Optimization, Surface roughness, Turning
Proceedings Papers

Fabrication and Characterization of Conical Micro Dimple Textures on Ti6Al4V for Higher Biocompatibility

Ankit Jain, Suresh Kumar Yatirajula, Vivek Bajpai
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T08A010, September 3, 2020
Paper No: MSEC2020-8342
DOI: https://doi.org/10.1115/MSEC2020-8342
View Paper titled, Fabrication and Characterization of Conical Micro Dimple Textures on Ti6Al4V for Higher Biocompatibility
Click here to open pdf in another window PDF for Fabrication and Characterization of Conical Micro Dimple Textures on Ti6Al4V for Higher Biocompatibility
Topics: Biocompatibility, Hydrophilicity, Manufacturing, Surface roughness, Texture (Materials), Shapes, Adhesion, Micromachining, Density, Electron field emission
Proceedings Papers

Surface Roughness Measurement of Additive Manufactured Parts Using Focus Variation Microscopy and Structured Light System

Xiao Zhang, Vignesh Suresh, Yi Zheng, Shaodong Wang, Qing Li, Hao Lyu, Beiwen Li, Hantang Qin
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T01A029, June 10–14, 2019
Paper No: MSEC2019-2874
DOI: https://doi.org/10.1115/MSEC2019-2874
View Paper titled, Surface Roughness Measurement of Additive Manufactured Parts Using Focus Variation Microscopy and Structured Light System
Click here to open pdf in another window PDF for Surface Roughness Measurement of Additive Manufactured Parts Using Focus Variation Microscopy and Structured Light System
Topics: Additive manufacturing, Microscopy, Surface roughness
Proceedings Papers

Computational Foundations for Using Three Degrees of Freedom Build Platforms to Enable Supportless Extrusion-Based Additive Manufacturing

Prahar M. Bhatt, Rishi K. Malhan, Satyandra K. Gupta
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A026, June 10–14, 2019
Paper No: MSEC2019-3024
DOI: https://doi.org/10.1115/MSEC2019-3024
View Paper titled, Computational Foundations for Using Three Degrees of Freedom Build Platforms to Enable Supportless Extrusion-Based Additive Manufacturing
Click here to open pdf in another window PDF for Computational Foundations for Using Three Degrees of Freedom Build Platforms to Enable Supportless Extrusion-Based Additive Manufacturing
Topics: Additive manufacturing, Degrees of freedom, Extruding, Printing, Shapes, Surface roughness
Proceedings Papers

Influence of Form Defects on the Load Bearing Characteristics of Interference Fits of Shaft and Bush

Liu Bao, Hong Lu, Minghui Yang, Xinbao Zhang, Lu Yu, Bowen Wang, Lingyan Wang
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A018, June 10–14, 2019
Paper No: MSEC2019-2825
DOI: https://doi.org/10.1115/MSEC2019-2825
View Paper titled, Influence of Form Defects on the Load Bearing Characteristics of Interference Fits of Shaft and Bush
Click here to open pdf in another window PDF for Influence of Form Defects on the Load Bearing Characteristics of Interference Fits of Shaft and Bush
Topics: Bearings, Press fits, Stress, Surface roughness
Proceedings Papers

Mechanical Finishing of 3D Printed Continuous Carbon Fiber Reinforced Polymer Composites via CNC Machining

Pedram Parandoush, Timothy Deines, Dong Lin, Hao Zhang, Chang Ye
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T01A003, June 10–14, 2019
Paper No: MSEC2019-2972
DOI: https://doi.org/10.1115/MSEC2019-2972
View Paper titled, Mechanical Finishing of 3D Printed Continuous Carbon Fiber Reinforced Polymer Composites via CNC Machining
Click here to open pdf in another window PDF for Mechanical Finishing of 3D Printed Continuous Carbon Fiber Reinforced Polymer Composites via CNC Machining
Topics: Additive manufacturing, Carbon reinforced plastics, Composite materials, Computer numerical control machine tools, Finishing, Machining, Mechanical finishes (Metals), Surface roughness
Proceedings Papers

A Decision-Level Data Fusion Approach to Surface Roughness Prediction

Yupeng Wei, Dazhong Wu, Janis Terpenny
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A030, June 10–14, 2019
Paper No: MSEC2019-2976
DOI: https://doi.org/10.1115/MSEC2019-2976
View Paper titled, A Decision-Level Data Fusion Approach to Surface Roughness Prediction
Click here to open pdf in another window PDF for A Decision-Level Data Fusion Approach to Surface Roughness Prediction
Topics: Additive manufacturing, Data fusion, Process monitoring, Surface roughness