1-6 of 6
Statistics
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Proof of Authenticity Statistics From Multiple Perceptual Hash Comparisons: A Case Study

Michele Maasberg, Leslie G. Butler, Brendan Birch, Maia Trailer
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A004, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-83923
https://doi.org/10.1115/MSEC2022-83923
View Paper titled, Proof of Authenticity Statistics From Multiple Perceptual Hash Comparisons: A Case Study
Open the PDF for Proof of Authenticity Statistics From Multiple Perceptual Hash Comparisons: A Case Study in another window
Topics: Additive manufacturing, Aerospace industry, Blockchain technology, Computation, Dust, Fractals, Lasers, Manufacturing industry, Manufacturing systems, Melting
Proceedings Papers

Analysis of Polycrystalline Diamond Micro-Grinding Tool Topography Using Image Processing

Ashwani Pratap, Karali Patra
Proc. ASME. MSEC2019, Volume 2: Processes; Materials, V002T03A015, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-2862
https://doi.org/10.1115/MSEC2019-2862
View Paper titled, Analysis of Polycrystalline Diamond Micro-Grinding Tool Topography Using Image Processing
Open the PDF for Analysis of Polycrystalline Diamond Micro-Grinding Tool Topography Using Image Processing in another window
Topics: Diamonds, Grinding, Image processing, Cutting, Density, Algorithms, Wire, Abrasives, Edge detection, Machining
Proceedings Papers

Experimental and Statistical Study on Magnetic-Field Assisted Finishing of Mold Steel Using Nano-Scale Solid Lubricant and Abrasive Particles

Pil-Ho Lee, Haseung Chung, Patrick Steven McCormick, Patrick Kwon, Hoa Nguyen, Yuhang Yang, Chenhui Shao
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A012, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6544
https://doi.org/10.1115/MSEC2018-6544
View Paper titled, Experimental and Statistical Study on Magnetic-Field Assisted Finishing of Mold Steel Using Nano-Scale Solid Lubricant and Abrasive Particles
Open the PDF for Experimental and Statistical Study on Magnetic-Field Assisted Finishing of Mold Steel Using Nano-Scale Solid Lubricant and Abrasive Particles in another window
Topics: Finishing, Lubricants, Magnetic fields, Nanoscale phenomena, Particulate matter, Steel, Surface quality, Iron, Iron alloys, Statistics
Proceedings Papers

Investigating a Die Quench Cracking Problem in 52100 Steel Bearing Rings With Computer Simulation

Arthur C. Reardon, Andrew Freborg, Zhichao (Charlie) Li, Lynn Ferguson
Proc. ASME. MSEC2016, Volume 1: Processing, V001T02A045, June 27–July 1, 2016
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2016-8739
https://doi.org/10.1115/MSEC2016-8739
View Paper titled, Investigating a Die Quench Cracking Problem in 52100 Steel Bearing Rings With Computer Simulation
Open the PDF for Investigating a Die Quench Cracking Problem in 52100 Steel Bearing Rings With Computer Simulation in another window
Topics: Bearing steel, Computer simulation, Cracking (Materials), Fracture (Process), Stress, Quenching (Metalworking), Flow (Dynamics), Bearings, Heat, Phase transitions
Proceedings Papers

Cutting Tool Condition Monitoring and Prediction Based on Dynamic Data Driven Approaches

Zhenhua Wu
Proc. ASME. MSEC2015, Volume 1: Processing, V001T02A110, June 8–12, 2015
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2015-9346
https://doi.org/10.1115/MSEC2015-9346
View Paper titled, Cutting Tool Condition Monitoring and Prediction Based on Dynamic Data Driven Approaches
Open the PDF for Cutting Tool Condition Monitoring and Prediction Based on Dynamic Data Driven Approaches in another window
Topics: Condition monitoring, Cutting tools, Wear, Cutting, Errors, Signals, Acoustic emissions, Artificial neural networks, Filters, Machining
Proceedings Papers

High-Definition Metrology Based Spatial Variation Pattern Analysis for Machining Process Monitoring and Diagnosis

Hui Wang, Saumuy Suriano, Liang Zhou, S. Jack Hu
Proc. ASME. MSEC2009, ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2, 471-480, October 4–7, 2009
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2009-84154
https://doi.org/10.1115/MSEC2009-84154
View Paper titled, High-Definition Metrology Based Spatial Variation Pattern Analysis for Machining Process Monitoring and Diagnosis
Open the PDF for High-Definition Metrology Based Spatial Variation Pattern Analysis for Machining Process Monitoring and Diagnosis in another window
Topics: Machining, Metrology, Process monitoring, Quality control charts, Fixturing, Holographic interferometry, Lasers, Principal component analysis, Statistics, Tooling