STEP AP 242 Managed Model-based 3D Engineering: An Application Towards the Automation of Fixture Planning

doi:10.1007/s11633-020-1272-x

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	STEP AP 242 Managed Model-based 3D Engineering: An Application Towards the Automation of Fixture Planning
	Remil George Thomas; Deepak Lawrence K.; Manu R.
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2021
卷号	18 期号:5 页码:731-746
摘要	Fixture design and planning is one of the most important manufacturing activities, playing a pivotal role in deciding the lead time for product development. Fixture design, which affects the part-quality in terms of geometric accuracy and surface finish, can be enhanced by using the product manufacturing information (PMI) stored in the neutral standard for the exchange of product model data (STEP) file, thereby integrating design and manufacturing. The present paper proposes a unique fixture design approach, to extract the geometry information from STEP application protocol (AP) 242 files of computer aided design (CAD) models, for providing automatic suggestions of locator positions and clamping surfaces. Automatic feature extraction software “FiXplan”, developed using the programming language C#, is used to extract the part feature, dimension and geometry information. The information from the STEP AP 242 file is deduced using geometric reasoning techniques, which in turn is utilized for fixture planning. The developed software is observed to be adept in identifying the primary, secondary, and tertiary locating faces and locator position configurations of prismatic components. Structural analysis of the prismatic part under different locator positions was performed using commercial finite element method software, ABAQUS, and the optimized locator position was identified on the basis of minimum deformation of the workpiece. The area-ratio (base locator enclosed area (%)/work piece base area (%)) for the ideal locator configuration was observed as 33%. Experiments were conducted on a prismatic workpiece using a specially designed fixture, for different locator configurations. The surface roughness and waviness of the machined surfaces were analysed using an Alicona non-contact optical profilometer. The best surface characteristics were obtained for the surface machined under the ideal locator positions having an area-ratio of 33%, thus validating the predicted numerical results. The efficiency, capability and applicability of the developed software is demonstrated for the finishing operation of a sensor cover – a typical prismatic component having applications in the naval industry, under different locator configurations. The best results were obtained under the proposed ideal locator configuration of area-ratio 33%.
关键词	Standard for the exchange of product model data (STEP) application protocol (AP) 242 product manufacturing information computer-aided fixture design computer aided design (CAD)/computer aided manufacturing (CAM), automation computer integrated manufacturing 3D surface roughness
DOI	10.1007/s11633-020-1272-x
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/45460
专题	学术期刊_Machine Intelligence Research
作者单位	Department of Mechanical Engineering, National Institute of Technology Calicut, Kerala 673 601, India
推荐引用方式 GB/T 7714	Remil George Thomas,Deepak Lawrence K.,Manu R.. STEP AP 242 Managed Model-based 3D Engineering: An Application Towards the Automation of Fixture Planning[J]. International Journal of Automation and Computing,2021,18(5):731-746.
APA	Remil George Thomas,Deepak Lawrence K.,&Manu R..(2021).STEP AP 242 Managed Model-based 3D Engineering: An Application Towards the Automation of Fixture Planning.International Journal of Automation and Computing,18(5),731-746.
MLA	Remil George Thomas,et al."STEP AP 242 Managed Model-based 3D Engineering: An Application Towards the Automation of Fixture Planning".International Journal of Automation and Computing 18.5(2021):731-746.

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