IJPEM
Intelligent Matching Assembly: System Design Based on Reuse of Ultra-Difference Parts
Kang Cao/Northwestern Polytechnical University
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Keywords : Intelligent matching algorithm,
Assembly optimization,
Reuse of unqualified parts,
Monte Carlo method,
Design of matching scheme
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As the industrial digitalization has been recently leaping forward, high-efficiency
production processes emerge, and assembly integration technologies are being
progressively developed. For high-tech industries (e.g., aerospace manufacturing),
however, unprecedented challenges are imposed on the conventional assembly
manufacturing process technology. To be specific, the shallow digitizing and
intelligent technologies fail to satisfy the rising requirements for efficiency,
pass rates and cost; in particular, the way to down-regulate the unqualified rate
and assembly cost of parts production remains unclear. In the present study, an
intelligent matching assembly system was designed for reapplying out-of-tolerance
parts. In addition, the concept of the mating base is proposed. Next, the fit
relation between parts is quantified by employing the functional expression of
dimension data, and such a relation is characterized as a function constraint with a
variable of dimension. Moreover, the designed intelligent matching system was
introduced into the existing assembly process to reemploy a number of unqualified
parts and determine the matching parts most suitable for the original unqualified
parts. On that basis, the most suitable parts are enabled to be involved in the
assembly activities, as an attempt to satisfy the design requirements. To
efficiently find the optimal matching scheme in the database of the unqualified
parts and most effectively employ the unqualified parts, a set of optimal matching
algorithms are proposed, thereby significantly down-regulating the production cost.
Lastly, Monte Carlo method was adopted to simulate the actual production data, and
the optimal matching scheme determined by the intelligent matching system was
analyzed and assessed, which verified the effectiveness and practicability of the
system.
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