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Robot Automation Systems for Deburring

Beom-Sahng Ryuh, Ronald Gordon

发表年份
2006
引用次数
10
访问权限
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摘要

Deburring is a significant area of research for robot application. However, it is difficult to obtain details on this important topic in modern text books and archival journal papers. Therefore, in general, the engineer is subjected to a time consuming decision making process that usually involves trial-and-error procedures. This chapter will attempt to organize important know-how and field experience, in a logical sequence, so that the engineer can use the information in a straightforward manner. The chapter will provide important details on various types of tools, material selections, robots and station concepts, and programming. This information will help reduce the trial-and-error approach, which is a significant drain on time and money. The contents of this chapter will also provide the opportunity to obtain an optimal solution to the problems associated with deburring. The chapter is arranged as follows. Section 2 defines a burr and presents background information on the automation systems for the deburring process. The process is classified by the types of burr and the work material. Sections 3 gives a brief introduction to robots for the deburring process. Section 4 discusses the tools of a robot deburring system including, the spindle motor, tool holders, and tool selection. Section 5 focuses on the rotation-type burr tool; i.e., deburring by a solid rotating file. The rotating file is the most commonly used at the present time. Section 6 focuses on the deburring operation and includes a discussion of potential problems in the deburring process. Section 7 presents a discussion of the selection of tools for different applications. Finally, Section 8 addresses the problems associated with the cutting and deburring of polymers and die castings. The material in this chapter is based on the reports and experiences of experts in Europe, the United States of America, Japan, and Korea.

关键词

AutomationRobotComputer scienceManufacturing engineeringEngineeringControl engineeringHuman–computer interactionArtificial intelligenceMechanical engineering

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