Open AccessAssembly Sequence Planning by Probabilistic Tree Transformation
Author(s) -
Tetsuya Murayama,
Yuichi Mine,
Hiroshi Fujinaka,
Toru Eguchi
Publication year - 2018
Publication title -
emitter international journal of engineering technology
Language(s) - English
Resource type - Journals
eISSN - 2443-1168
pISSN - 2355-391X
DOI - 10.24003/emitter.v6i2.308
Subject(s) - sequence (biology) , transformation (genetics) , tree (set theory) , probabilistic logic , computer science , cad , engineering drawing , product (mathematics) , software , algorithm , engineering , artificial intelligence , programming language , mathematics , mathematical analysis , biochemistry , chemistry , genetics , geometry , biology , gene
Various types of computer systems including CAD/CAM systems have been introduced in machine industry. Some of the systems can handle assembly sequence planning, however it requires long time for planning. This paper proposes a method of generating assembly sequences efficiently. This method extracts some parts and/or subassemblies whose possibilities of being removed from a product are strong, and tests whether they can be removed without any geometric interference. By performing these operations repeatedly, the method generates a disassembly sequence of the product, and obtains an assembly sequence by reversing it. The extraction of some parts and/or subassemblies is performed, based on probabilistic tree transformation. The authors present a calculation example by using a software tool integrated with a CAD system.