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Proceedings Papers

3D Printed Bioinspired Hierarchical Surface Structure With Tunable Wettability

M. M. Towfiqur Rahman, Erina Baynojir Joyee
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T03A012, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104516
https://doi.org/10.1115/MSEC2023-104516
View Paper titled, 3D Printed Bioinspired Hierarchical Surface Structure With Tunable Wettability
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Topics: Additive manufacturing, Biomedicine, Biomimetics, Columns (Structural), Design, Manufacturing, Microscale devices, Printing, Resolution (Optics), Surface roughness
Proceedings Papers

Study on Dicing Mechanism for PZT-4 Piezoelectric Ceramics Composite

Yang Zhou, Yao Liu, Zhou Jinjie, Zhanling Guo
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T03A019, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-106299
https://doi.org/10.1115/MSEC2023-106299
View Paper titled, Study on Dicing Mechanism for PZT-4 Piezoelectric Ceramics Composite
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Topics: Composite materials, Piezoelectric ceramics, Surface roughness
Proceedings Papers

Effect of In-Situ Laser Polishing on Microstructure, Surface Characteristics, and Phase Transformation of LPBF Martensitic Stainless Steel

Majed Ali, Abdalmageed Almotari, Anwar Al Gamal, Ala’aldin Alafaghani, Hossein Abedi, Ala Qattawi
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A027, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105182
https://doi.org/10.1115/MSEC2023-105182
View Paper titled, Effect of In-Situ Laser Polishing on Microstructure, Surface Characteristics, and Phase Transformation of LPBF Martensitic Stainless Steel
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Topics: Additive manufacturing, Laser micro polishing, Metals, Phase transitions, Stainless steel, Surface roughness
Proceedings Papers

Sustainable Analysis of Energy Consumption and Surface Quality of Monocrystalline Silicon in Diamond Wire Sawing

Eyob Messele Sefene, Chao-Chang Arthur Chen, Steve Hsueh-Ming Wang
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A002, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-101247
https://doi.org/10.1115/MSEC2023-101247
View Paper titled, Sustainable Analysis of Energy Consumption and Surface Quality of Monocrystalline Silicon in Diamond Wire Sawing
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Topics: Carbon dioxide, Diamonds, Emissions, Energy consumption, Sawing, Silicon, Surface quality, Surface roughness, Sustainability, Wire
Proceedings Papers

A Fringe Pattern Analysis Technique for Photomask Line-Edge-Roughness Characterization

Zhikun Wang, Kuan Lu, ChaBum Lee
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A007, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-103862
https://doi.org/10.1115/MSEC2023-103862
View Paper titled, A Fringe Pattern Analysis Technique for Photomask Line-Edge-Roughness Characterization
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Topics: Diffraction patterns, Photomasks, Surface roughness
Proceedings Papers

A Study of the Laser Powder Bed Fusion Manufactured Surface Roughness Prediction and Optimization Based on Artificial Neural Network

Dongqing Yan, Eddie Taewan Lee, Somayeh Pasebani, Zhaoyan Fan
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A005, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-102011
https://doi.org/10.1115/MSEC2023-102011
View Paper titled, A Study of the Laser Powder Bed Fusion Manufactured Surface Roughness Prediction and Optimization Based on Artificial Neural Network
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Topics: Artificial neural networks, Lasers, Optimization, Surface roughness
Proceedings Papers

A Machine Learning Genetic Algorithm (ML-GA) Approach to Optimize Process Parameters of Trochoidal Toolpath During Hybrid-Electrochemical Magnetorheological (H-ECMR) Finishing

Atul Singh Rajput, Manas Das, Sajan Kapil
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A032, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105179
https://doi.org/10.1115/MSEC2023-105179
View Paper titled, A Machine Learning Genetic Algorithm (ML-GA) Approach to Optimize Process Parameters of Trochoidal Toolpath During Hybrid-Electrochemical Magnetorheological (H-ECMR) Finishing
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Topics: Finishing, Genetic algorithms, Machine learning, Toolpaths, Surface roughness, Biomaterials, Optimization, Stainless steel, Composite materials, Corrosion resistance
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
Publisher: American Society of Mechanical Engineers
Paper No: IAM2022-93969
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85329
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
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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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85697
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85783
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
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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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85839
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85310
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

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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63614
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

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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63573
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

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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8442
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8534
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8524
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8219
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8316
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
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Topics: Cooling, Cutting, Emulsions, Floods, Flow (Dynamics), Milling, Surface roughness, Wear, Machining, Abrasion