Concurrent optimization of process tolerances and manufacturing loss

Liu, Ping-Hung; Wei, Chiu‐Chi

doi:10.1080/09511920050195940

Cited by 4 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, most applications of the functions use advanced allocation methods, such as genetic algorithms [62,[77][78][79][80][81][82][83][84][85], the bat algorithm [86], cuckoo search and particle swarm optimization [85], constraint networks [34,35], scatter search [87,88], pattern search [89], simulated annealing [90], a method based on Lambert W function [91,92], and fuzzy methods [93]. The function has also been used to solve problems with special formulations, such as interrelated tolerance chains [94,95], pre-selection of manufacturing processes [96], minimization of nonconforming fraction [97,98], allocation of geometric tolerances [99][100][101], minimization of cost and quality loss [102][103][104], robust design [105], simultaneous allocation of process averages and tolerances [106][107][108], multistation systems [109], and allocation combined with scheduling [110]. Approximate values assumed in literature for the variable cost parameters b and k are listed in Tab.…”

Section: Exponentialmentioning

confidence: 99%

Selection of parameters in cost-tolerance functions: review and approach

Armillotta

2020

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The paper deals with the cost-tolerance functions used in minimum-cost tolerance allocation on mechanical assemblies. The consistency of the cost-tolerance functions associated with different dimensions of a tolerance chain is a necessary condition for a correct optimization of tolerance values. This requires a careful selection of function parameters, in order to take into account all the variables influencing the cost, and thus to compare the costs of the different dimensions in a common scale. The cost-tolerance functions proposed in the literature are reviewed, revealing that the parameters are often selected without explicit reference to empirical data or objective rules. The development of procedures for parameter selection has been addressed in several studies, which are also reviewed along with the needed cost data published in textbooks and reports. Finally, an original approach is proposed to build cost-tolerance functions for combined processes, for which fewer results or methods are available. The parameters of a reciprocal power function, chosen for the favorable balance between accuracy and ease of use, are expressed through an empirical relationship with some design variables; these include the nominal dimensions, and the type and size of the part features involved in the allocation problem. An application example shows that the proposed procedure results in optimal tolerance values consistent with common design criteria.

show abstract