Results 171 to 180 of about 457,829 (308)
CBN cutting tool's surface roughness and tool wear prediction using JOA-optimized CNN-LSTM. [PDF]
Khetre S, Bongale A, Kumar S.
europepmc +1 more source
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker +4 more
wiley +1 more source
Machining Micro-Error Compensation Methods for External Turning Tool Wear of CNC Machines. [PDF]
Zhang H, Lu T, Xia Z, Zhang Z, Zhu J.
europepmc +1 more source
An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates
An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam +6 more
wiley +1 more source
A Study on Tool Breakage Detection Technology Based on Current Sensing and Non-Contact Signal Analysis. [PDF]
Lai CH, Huang SH, Wu TE, Lai CC.
europepmc +1 more source
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel +3 more
wiley +1 more source
Experimental Study on Acoustic Emission Signals Under Different Processing States of Laser-Assisted Machining of SiC Ceramics. [PDF]
Cao C, Zhao Y, Hu X, Cui X.
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Exploration of Cutting Processing Mode of Low-Rigidity Parts for Intelligent Manufacturing. [PDF]
Zhu J, Liu X, Peng H, Liu W, Li Z.
europepmc +1 more source
Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand +7 more
wiley +1 more source

