Search Results | MSEC | ASME Digital Collection

1-20 of 162

2 3 4 5

Sort by

Sort Order Select

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

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

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

Paper No: MSEC2022-85697

DOI: https://doi.org/10.1115/MSEC2022-85697

View Paper

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

Paper No: MSEC2022-85783

DOI: https://doi.org/10.1115/MSEC2022-85783

View Paper

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

Paper No: MSEC2022-85839

DOI: https://doi.org/10.1115/MSEC2022-85839

View Paper

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

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

Paper No: MSEC2021-63614

DOI: https://doi.org/10.1115/MSEC2021-63614

View Paper

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

Paper No: MSEC2021-63573

DOI: https://doi.org/10.1115/MSEC2021-63573

View Paper

Topics: Electrical discharge machining, Stress, 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

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

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

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

Paper No: MSEC2020-8316

DOI: https://doi.org/10.1115/MSEC2020-8316

View Paper

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

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

Topics: Biocompatibility, Hydrophilicity, Manufacturing, Surface roughness, Texture (Materials), Shapes, Adhesion, Micromachining, Density, Electron field emission

Proceedings Papers

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

Mustafa Rifat, Saurabh Basu

Paper No: MSEC2020-8442

DOI: https://doi.org/10.1115/MSEC2020-8442

View Paper

Topics: Deformation, Finite element analysis, Imaging, Lasers, Metals, Microscopy, Porosity, Surface roughness

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

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

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

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

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

Topics: Additive manufacturing, Data fusion, Process monitoring, Surface roughness

2 3 4 5

NARROW

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

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

A Surface Roughness Characterization Method for Additively Manufactured Products

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

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

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

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

Evolution of White Layer and Residual Stress in Electrical Discharge Machining

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

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

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

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

Experimental Investigation of Electrochemical Micro Turning of Ti6Al4V With NaOH Solution

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

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

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

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

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

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

A Decision-Level Data Fusion Approach to Surface Roughness Prediction

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only