Results 51 to 60 of about 5,074,594 (286)
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Journal of the Japan Society of Precision Engineering, 1985 This paper describes details of a prediction system of tool wear. The system is based on the wear characteristic equation and the three-dimensional cutting model relating to formation of a lateral curl of chip which have been proposed in the previous papers.
Katsuhiro MAEKAWA, Takeaki KITAGAWA
openaire +3 more sources
A Study on the Prediction of Tool Wear Using Multi-sensor and SVR in the Turning Process [PDF]
한국정밀공학회지In this study, we proposed a methodology for predicting tool wear in the turning process using the SVR model. This model maintains stable performance even in small-scale data environments and demonstrates robust characteristics against outliers.
Seok Jin Kim +3 more
doaj +1 more source
Analysis of Tool Wear in GH4169 Material Milling Process
Lubricants, 2023 Nickel-based superalloy GH4169 is a material with strong mechanical properties and is difficult to process. In order to reduce tool wear during material processing and improve the workpiece surface processing quality, based on the finite element ...
Xueguang Li +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study examines Invar composites reinforced with titanium carbide (TiC) and titanium nitride (TiN) using laser powder bed fusion (LPBF). It presents the influence of reinforcements on microstructure, tensile properties, and thermal expansion. Results show that TiC effectively strengthens Invar while maintaining low thermal expansion, whereas TiN ...
Ayodeji Nathaniel Oyedeji +3 more
wiley +1 more source
Predicting implant UHMWPE wear in-silico: A robust, adaptable computational-numerical framework for future theoretical models [PDF]
, 2011 Computational methods for the pre-clinical wear prediction for devices such as hip, knee or spinal implants are valuable both to industry and academia. Archard’s wear model laid the basis for the first generation of theoretical wear estimation algorithms,
M.A. Strickland +5 more
core +1 more source
Micro-Milling Tool Wear Monitoring via Nonlinear Cutting Force Model
Micromachines, 2022 Mechanistic cutting force model has the potential for monitoring micro-milling tool wear. However, the existing studies mainly consider the linear cutting force model, and they are incompetent to monitor the micro-milling tool wear which has a ...
Tongshun Liu, Qian Wang, Weisu Wang
doaj +1 more source
Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids
Advanced Functional Materials, EarlyView.This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow +9 more
wiley +1 more source
Tool-life and wear mechanisms of CBN tools in machining of Inconel 718 [PDF]
, 2007 The demand for increasing productivity when machining heat resistant alloys has resulted in the use of new tool materials such as cubic boron nitride (CBN) or ceramics.
DESSOLY, Michel +4 more
core +1 more source
Applied Sciences, 2023 Real-time tool condition monitoring (TCM) is becoming more and more important to meet the increased requirement of reducing downtime and ensuring the machining quality of manufacturing systems.
Zhimeng Li +5 more
doaj +1 more source