Development of STEP AP224 Extractor for Interfacing Feature Based CAPP to STEP-NC (AP238)

Manufacturing features represent area of interest on the machinable surface of a part, which can provide a unique set of removable volumes from part. Feature description in standard for exchange of product (STEP) AP224 is an efficient neutral format for the development of feature based process plann...

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Vydané v:Machine intelligence research (Print) Ročník 16; číslo 5; s. 655 - 670
Hlavní autori: Srivastava, Deepanshu, Komma, Venkateswara Rao
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Beijing Springer Nature B.V 01.10.2019
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ISSN:2153-182X, 2153-1838
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Abstract Manufacturing features represent area of interest on the machinable surface of a part, which can provide a unique set of removable volumes from part. Feature description in standard for exchange of product (STEP) AP224 is an efficient neutral format for the development of feature based process planning. Process planning information of features can be converted to numerical control (NC) code to have complete manufacturing information of part. STEP-NC code provides an efficient manufacturing information model compared to G-M codes. In this work, an interface is developed for extraction of feature information available in AP224 (AIM) format and the ruled-based approach is used to select different process planning parameters. A graphical user interface (GUI) is developed for the interface for displaying features information as represented in AP224 file. Furthermore, the interface generates STEP-NC code in AP238 format. The developed interface has three modules. 1) Module I: Reading interface for STEP AP224 file and development of GUI. 2) Module II: Selection of feature based process planning parameters. 3) Module III: Writing interface for STEP-NC (AP238). The developed interface has been implemented in Java through Java standard data access interface (JSDAI™). The generated STEP-NC AP238 code for the test part has been successfully simulated on STEP-NC Machine™, an AP238 simulator. This article also provides an in-depth view of application interpreted model (AIM) representation format of STEP for AP224 and AP238.
AbstractList Manufacturing features represent area of interest on the machinable surface of a part, which can provide a unique set of removable volumes from part. Feature description in standard for exchange of product (STEP) AP224 is an efficient neutral format for the development of feature based process planning. Process planning information of features can be converted to numerical control (NC) code to have complete manufacturing information of part. STEP-NC code provides an efficient manufacturing information model compared to G-M codes. In this work, an interface is developed for extraction of feature information available in AP224 (AIM) format and the ruled-based approach is used to select different process planning parameters. A graphical user interface (GUI) is developed for the interface for displaying features information as represented in AP224 file. Furthermore, the interface generates STEP-NC code in AP238 format. The developed interface has three modules. 1) Module I: Reading interface for STEP AP224 file and development of GUI. 2) Module II: Selection of feature based process planning parameters. 3) Module III: Writing interface for STEP-NC (AP238). The developed interface has been implemented in Java through Java standard data access interface (JSDAI™). The generated STEP-NC AP238 code for the test part has been successfully simulated on STEP-NC Machine™, an AP238 simulator. This article also provides an in-depth view of application interpreted model (AIM) representation format of STEP for AP224 and AP238.
Author Komma, Venkateswara Rao
Srivastava, Deepanshu
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CitedBy_id crossref_primary_10_1007_s11633_020_1272_x
crossref_primary_10_1109_ACCESS_2024_3420168
crossref_primary_10_1016_j_cad_2025_103954
crossref_primary_10_1080_0951192X_2022_2162590
crossref_primary_10_1007_s40964_024_00583_3
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Numerically controlled machines
Process parameters
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Standard data
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