Journal Article10.1080/00207549008942697
Fundamentals of Machining and Machine Tools (2nd edition). By GEOFFREY BOOTHROYD and W. A. KNIGHT (Marcel Dekker, Inc., 1989.) [Pp. 560.] Price $49-75 (US and Canada); $59 (elsewhere).
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About: This article is published in International Journal of Production Research. The article was published on 01 Jan 1990.
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Citations
Manufacturing planning and predictive process model integration using software agents
TL;DR: The National Institute of Standards and Technology (NIST) has developed a prototype multi-agent system supporting the integration of manufacturing planning, predictive machining models, and manufacturing control and has demonstrated an integration framework to enable the use of machining process knowledge with higher-level manufacturing applications.
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A novel numerical modeling approach to determine the temperature distribution in the cutting tool using conjugate heat transfer (CHT) analysis
Salman Pervaiz,Salman Pervaiz,Ibrahim Deiab,E.M. Wahba,E.M. Wahba,Amir Rashid,Cornel Mihai Nicolescu +6 more
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Current source LCC resonant converter for an EDM power supply
Rosario Casanueva,L.A. Chiquito,Francisco J. Azcondo,Salvador Bracho +3 more
- 29 Nov 2001
TL;DR: In this article, a low-size power supply prototype for electrical discharge machining is presented, which is a DC to DC LCC resonant converter whose switching frequency is tuned at the natural resonant frequency where the converter tends to act as a current source.
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An effect of osteon orientation in end milling operation of cortical bone based on FEM and experiment
TL;DR: In this paper , numerical simulation of bone milling process has been used for acquiring process cutting force and temperature and comparison with already reported experimental data, which revealed good agreement between numerical and experimental results, as errors were below 4 % and 8 % for prediction of temperature and cutting force respectively.
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Modeling Surface Finish in End Milling Using Fuzzy Subtractive Clustering-Based System Identification Method
TL;DR: F fuzzy subtractive clustering-based system identification and a Sugeno-type fuzzy inference system are used to model the surface finish of the machined surfaces in end milling and to develop a better understanding of the effect of process parameters on surface quality.
11
References
Manufacturing planning and predictive process model integration using software agents
TL;DR: The National Institute of Standards and Technology (NIST) has developed a prototype multi-agent system supporting the integration of manufacturing planning, predictive machining models, and manufacturing control and has demonstrated an integration framework to enable the use of machining process knowledge with higher-level manufacturing applications.
54
Current source LCC resonant converter for an EDM power supply
Rosario Casanueva,L.A. Chiquito,Francisco J. Azcondo,Salvador Bracho +3 more
- 29 Nov 2001
TL;DR: In this article, a low-size power supply prototype for electrical discharge machining is presented, which is a DC to DC LCC resonant converter whose switching frequency is tuned at the natural resonant frequency where the converter tends to act as a current source.
23
Modeling Surface Finish in End Milling Using Fuzzy Subtractive Clustering-Based System Identification Method
TL;DR: F fuzzy subtractive clustering-based system identification and a Sugeno-type fuzzy inference system are used to model the surface finish of the machined surfaces in end milling and to develop a better understanding of the effect of process parameters on surface quality.
11
Assessment of Surface Roughness Model for Turning Process
Yasir Hadi,Salah Gasim Ahmed +1 more
- 15 Jun 2006
TL;DR: This research focuses on developing an empirical model for prediction of surface roughness in finish turning, which considers the following working parameters: feed, depth of cut, and spindle speed.
A computer assistant for monitoring tool performance during the drilling process
TL;DR: A computer assistant is presented, which provides information about the current drilling process system and detects both tool wear and material heterogeneities.
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