Results 211 to 220 of about 93,025 (314)

Tool Wear State Identification Method with Variable Cutting Parameters Based on Multi-Source Unsupervised Domain Adaptation. [PDF]

Sensors (Basel)
Cai Z, Li W, Song J, Jin H, Fu H.
europepmc   +1 more source

Mechanical Fatigue in Liquid‐Metal Interconnects: Failure Mechanism Analysis and Validation of Improvement Strategies

Advanced Materials Technologies, EarlyView.
Multi‐million cycle reliability for liquid metal stretchable electronics is achieved through a continuous cycle of mechanical testing, failure mode and mechanism analysis and implementing subsequent mitigation strategies. ABSTRACT Stretchable electronics that combine mechanical compliance with reliable electrical performance are essential for ...
Lennert Purnal, Maximilian Krack, Parth Vinayakrao Sewlikar, Bart Ruttens, Tom Hauffman, Iris De Graeve, Wim Deferme, Michaël Daenen, Monika Rai   +8 more
wiley   +1 more source

Influence of Machining Parameters on the Surface Roughness and Tool Wear During Slot Milling of a Polyurethane Block. [PDF]

Materials (Basel)
Szadkowska K, Kępczak N, Stachurski W, Pawłowski W, Rosik R, Bechciński G, Sikora M, Witkowski B, Sikorski J.   +8 more
europepmc   +1 more source

Tool wear and wear mechanism of carbide tool in cutting Al–Si alloy diecastings

Journal of Japan Institute of Light Metals, 2019
Shioda, Masahiko, Mochizuki, Tatsuhiko, Kishimoto, Yukihiro   +2 more
openaire   +3 more sources

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Tool Wear Prediction in Machining of Aluminum Matrix Composites with the Use of Machine Learning Models. [PDF]

Materials (Basel)
Hamrol A, Tabaszewski M, Kujawińska A, Czyżycki J.   +3 more
europepmc   +1 more source

Material Selection and Geometric Design for Few‐filament Shape Memory Polymer Yarns for Force Generation

Advanced Materials Technologies, EarlyView.
A custom shape memory polymer material selection process relates quantitative application criteria (e.g., compression garment yarns) to material characterization information. The selected materials are manufactured into yarn geometries, which expand the design space by creating structural stress‐strain profiles beyond the nominal material stress‐strain
Michaela Andrews, Susan Mantell, Julianna Abel   +2 more
wiley   +1 more source

Influence of Nanocomposite PVD Coating on Cutting Tool Wear During Milling of 316L Stainless Steel Under Air Cooling Conditions. [PDF]

Materials (Basel)
Tymczyszyn J, Szajna A, Mrówka-Nowotnik G.   +2 more
europepmc   +1 more source

3D Printing of Stretchable, Compressible and Conductive Porous Polyurethane for Soft Robotics

Advanced Materials Technologies, EarlyView.
A 3D‐printable porous dopamine‐polyurethane acrylate elastomer results in conductive, stretchable, and compressible structures that can be metallized in situ through catechol‐mediated silver reduction. The resulting material function as both compliant soft robot with a and strain sensors without complex assemblies, enabling fully 3D‐printed soft ...
Ouriel Bliah, Konstantin Sakharov, Pooi See Lee, Shlomo Magdassi   +3 more
wiley   +1 more source