An integrated approach to automated assembly planning for three-dimensional mechanical products

Lin, Alan C.; Chang, Tao-Hsing

doi:10.1080/00207549308956784

Cited by 64 publications

(25 citation statements)

References 15 publications

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“…Kroll et al (1989) have proposed a rule-based system which automatically generates assembly sequences. Lin (1990) has developed a methodology using a graph-based approach and heuristics to generate alternative assembly sequences and assembly process details. Bourjault (1984) presented a method of generating all assembly sequences from answers to a series of questions about the mating part pairs and multiple parts.…”

Section: 3 Sequence Generationmentioning

confidence: 99%

Automated generation of assembly sequence based on geometric and functional reasoning

Deshmukh

Yung²,

Wang

1993

J Intell Manuf

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Computer-aided process planning forms a vital link in the realization of a completely automated manufacturing environment. This paper addresses issues related to automatically generating assembly sequences from the geometric description of part components. Determination of assembly sequence depends on physical characteristics of the components, and their relative position in the final assembly, in order to accomplish functional goals of the assembly. A knowledge-based architecture for extracting and representing explicit interface information between part components, with minimal expert interaction, is presented in this paper. The concept of articulation points is used to decompose the complete assembly into constituent subassemblies. Finally, a feasible sequence is generated for each subassembly.

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Section: 3 Sequence Generationmentioning

confidence: 99%

Automated generation of assembly sequence based on geometric and functional reasoning

Deshmukh

Yung²,

Wang

1993

J Intell Manuf

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“…Interference checking ensures that the parts to be assembled do not collide during assembly. A different method proposed by Lin and Chang (1991) uses a three-layer strategy and a special tree structure to represent the assembly and to generate one feasible sequence. In a method proposed by De Fazio (Baldwin et al, 1991;Whitney, 1987, 1989), symbolically stated answers to questions represent the precedence relations between liaisons or logical combinations of liaisons.…”

Section: Generation Of Assembly Sequencementioning

confidence: 99%

Analysis of assembly operations difficulty: a fuzzy expert system approach

Ben‐Arieh

1993

J Intell Manuf

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Typical mechanical products can be assembled in various sequences of assembly operations. These sequences have high impact on the assembly time, machine utilization and even on the product quality. In order to select the best sequence of assembly operations, proper evaluation of the various sequences of assembly operations is required. This, in turn, requires the consistent evaluation of each assembly operation in the sequence. The assembly operations can be evaluated for various criteria, of which the operation difficulty is the most meaningful. This paper describes a methodology to analyse the assembly operations and calculates an operation's degree of difficulty using an expert system. This analysis consists of two steps: the first one identifies the main parameters that affect the assembly difficulty and assigns fuzzy triangular values to these parameters. The second step assigns weights to the parameters in order to maximize the agreement with a domain expert. The expert system analyses the difficulty of the assembly operation performed in two orientations: horizontal and vertica1. The expert system then assigns a triangular fuzzy number as the aggregate measure of the operation's difficulty.

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“…He then extended his previous approach from uniaxial assemblies to triaxial assemblies and presented a set of rules for resolving conflicts between multiple parents and multiple offspring. However, in practice most assembly companies use semi-automatic systems to generate an assembly plan and employ 2D cross-sectional views to represent their heuristic models (Lin & Chang, 1993).…”

Section: Introductionmentioning

confidence: 99%

A systematic optimization approach for assembly sequence planning using Taguchi method, DOE, and BPNN

Chen

Hsu

Hsieh

et al. 2010

Expert Systems with Applications

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An integrated approach to automated assembly planning for three-dimensional mechanical products

Cited by 64 publications

References 15 publications

Automated generation of assembly sequence based on geometric and functional reasoning

Automated generation of assembly sequence based on geometric and functional reasoning

Analysis of assembly operations difficulty: a fuzzy expert system approach

A systematic optimization approach for assembly sequence planning using Taguchi method, DOE, and BPNN

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