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Torusity Tolerance Verification using Swarm Intelligence
Prakasvudhisarn, Chakguy,Kunnapapdeelert, Siwaporn Korean Institute of Industrial Engineers 2007 Industrial Engineeering & Management Systems Vol.6 No.2
Measurement technology plays an important role in discrete manufacturing industry. Probe-type coordinate measuring machines (CMMs) are normally used to capture the geometry of part features. The measured points are then fit to verify a specified geometry by using the least squares method (LSQ). However, it occasionally overestimates the tolerance zone, which leads to the rejection of some good parts. To overcome this drawback, minimum zone approaches defined by the ANSI Y14.5M-1994 standard have been extensively pursued for zone fitting in coordinate form literature for such basic features as plane, circle, cylinder and sphere. Meanwhile, complex features such as torus have been left to be dealt-with by the use of profile tolerance definition. This may be impractical when accuracy of the whole profile is desired. Hence, the true deviation model of torus is developed and then formulated as a minimax problem. Next, a relatively new and simple population based evolutionary approach, particle swarm optimization (PSO), is applied by imitating the social behavior of animals to find the minimum tolerance zone torusity. Simulated data with specified torusity zones are used to validate the deviation model. The torusity results are in close agreement with the actual torusity zones and also confirm the effectiveness of the proposed PSO when compared to those of the LSQ.
Torusity Tolerance Verification using Swarm Intelligence
Chakguy Prakasvudhisarn,Siwaporn Kunnapapdeelert 대한산업공학회 2007 Industrial Engineeering & Management Systems Vol.6 No.2
Measurement technology plays an important role in discrete manufacturing industry. Probe-type coordinate measuring machines (CMMs) are normally used to capture the geometry of part features. The measured points are then fit to verify a specified geometry by using the least squares method (LSQ). However, it occasionally overestimates the tolerance zone, which leads to the rejection of some good parts. To overcome this drawback, minimum zone approaches defined by the ANSI Y14.5M-1994 standard have been extensively pursued for zone fitting in coordinate form literature for such basic features as plane, circle, cylinder and sphere. Meanwhile, complex features such as torus have been left to be dealt-with by the use of profile tolerance definition. This may be impractical when accuracy of the whole profile is desired. Hence, the true deviation model of torus is developed and then formulated as a minimax problem. Next, a relatively new and simple population based evolutionary approach, particle swarm optimization (PSO), is applied by imitating the social behavior of animals to find the minimum tolerance zone torusity. Simulated data with specified torusity zones are used to validate the deviation model. The torusity results are in close agreement with the actual torusity zones and also confirm the effectiveness of the proposed PSO when compared to those of the LSQ.
Schoch, Martin,Prakasvudhisarn, Chakguy,Praditsmanont, Apichat Sustainable Building Research Center 2011 International journal of sustainable building tech Vol.2 No.4
This paper extends existing research on building-volume optimization (BVO), evaluating the potential of the models practical implementation. It undertakes and discusses a representative building-volume design to examine the implementation of the BVO model as possible decision-support at an early design stage. In order to determine its usefulness to develop sustainable building designs, it focuses minimizing their foreseen life cycle cost (LCC), validating that, with the help of a proposed search strategy, the suggested BVO model can generate cost-effective and site-specific building-volume designs. In doing so, the approach underlines the ability to serve as a meaningful decision-support tool that allows designers to consider building-volume design alternatives at a design phase where design decisions in reference to their implied LCC are difficult to achieve. Results also confirmed the potential strengths of creating building-volume solutions, which can be used as a reference for ongoing development of architectural designs.