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The Research On Modern Human-machine-environment Theory And Engineering Of The Mechanical System In Manufacture System

Posted on:2008-08-10Degree:MasterType:Thesis
Country:ChinaCandidate:J F HouFull Text:PDF
GTID:2132360215469576Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
With the development of science, many ergonomics opinions have been introduced into the machining industry especially in precision machining. These ideas inject fresh blood into enterprises and offer precious development opportunity. Supported by Shanxi natural science foundation, the relationship of man, machine, and environment is studied. The humane factor is the important condition and principle of system design. A new theory and method is supplied to make system more convenience, save labors, safe, trustiness, efficient, comfortable. In this paper, the ergonomics theory applications in precision machine is studied, and the skills and fatigue evaluation of operators in precision machine is explored. The operational information is the fundament of advanced research, so its effects on operators and the production quality must be well commanded. Aiming at studying the human interface, the operational and fatigue information in precision machining have been measured in this paper. This operational information is comprised of cutting force, torque, speed of hand wheel rotation, length of locus, task time and task error. The fatigue information is comprised of subjective fatigue (measured by the checklist) and objective fatigue (critical flicker fusion frequency (CFF)). In order to ensure the precision, we found the mechanical system according as the real request and condition; we realized the on-line measurement as well as possible. In the end, the skill level and the fatigue of operators are understood by multiple regression analysis. The result found theses operational information which can understand the operators'degree of fatigue and skill level.
Keywords/Search Tags:Human interface, Precision machining, Operational information, Fatigue, Multiple regression analysis
PDF Full Text Request
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