Semantic Interoperability of GD&T Data Through ISO 10303 Step AP242

2016 ◽  
Author(s):  
Adarsh Venkiteswaran ◽  
Sayed Mohammad Hejazi ◽  
Deepanjan Biswas ◽  
Jami J. Shah ◽  
Joseph K. Davidson
Keyword(s):  
Data Exchange ◽  
Smart Manufacturing ◽  
Context Model ◽  
Product Model ◽  
Shape Information ◽  
Computer Aided Process Planning ◽  
Model Based ◽  
Computer Aided ◽  
Iso 10303 ◽  
Manufacturing Applications

Industries are continuously trying to improve the time to market through automation and optimization of existing product development processes. Large companies vow to save significant time and resources through seamless communication of data between design, manufacturing, supply chain and quality assurance teams. In this context, Model Based Definition/Engineering (MBD) / (MBE) has gained popularity, particularly in its effort to replace traditional engineering drawings and documentations with a unified digital product model in a multi-disciplinary environment. Widely used 3D data exchange models (STEP AP 203, 214) contains mere shape information, which does not provide much value for reuse in downstream manufacturing applications. However, the latest STEP AP 242 (ISO 10303-242) “Managed model based 3D engineering” aims to support smart manufacturing by capturing semantic Product Manufacturing Information (PMI) within the 3D model and also helping with long-term archival. As a primary, for interoperability of Geometric Dimensions & Tolerances (GD&T) through AP 242, CAx Implementor Forum has published a set of recommended practices for the implementation of a translator. In line with these recommendations, this paper discusses the implementation of an AP 203 to AP 242 translator by attaching semantic GD&T available in an in-house Constraint Tolerance Graph (CTF) file. Further, semantic GD&T data can be automatically consumed by downstream applications such as Computer Aided Process Planning (CAPP), Computer Aided Inspection (CAI), Computer Aided Tolerance Systems (CATS) and Coordinate Measuring Machines (CMM). Also, this paper will briefly touch base on the important elements that will constitute a comprehensive product data model for model-based interoperability.

scholarly journals STEP File Analyzer Software

2017 ◽  
Vol 122 ◽  
Author(s):  
Robert Lipman
Keyword(s):  
Computer Aided Design ◽  
Data Exchange ◽  
3D Visualization ◽  
Software Tool ◽  
Smart Manufacturing ◽  
Product Model ◽  
Engineering Software ◽  
Computer Aided ◽  
High Level ◽  
Aided Design

The STEP File Analyzer is a software tool that generates a spreadsheet or a set of CSV (comma-separated value) files from a STEP (ISO 10303 –STandard for Exchange of Product model data) Part 21 file. STEP files are used to represent product and manufacturing information (PMI) and for data exchange and interoperability between Computer-Aided Design (CAD), Manufacturing (CAM), Analysis (CAE), and Inspection (CMM) software related to the smart manufacturing digital thread. STEP is also used for the long-term archiving and retrieval of product data. A spreadsheet simplifies inspecting information from the STEP file at an entity and attribute level. Typical STEP file viewers show a 3D visualization of the part or model represented by the STEP file. The viewers usually have a high-level hierarchical display of the information in the STEP file where the user can drill down to individual attributes of parts. However, there is no way to view all of the actual STEP entities and their attributes at once. The STEP File Analyzer provides this capability by creating a spreadsheet from the STEP file. The STEP File Analyzer also generates reports for PMI Representation, PMI Presentation, and Validation Properties based on Recommended Practices defined by the CAx Implementor Forum (CAx-IF) [5]. The objective of the CAx-IF is to advance CAx (mainly Computer-Aided Design and Engineering) software system STEP translator development and to ensure that user requirements for interoperability are satisfied.

Computer Aided Process Planning for Freeform Surface Sheet Metal Features in Automotive Industry

2013 ◽  
Vol 392 ◽  
pp. 931-935
Author(s):  
M.A. Saleh ◽  
H.M.A. Hussein ◽  
H.M. Mousa
Keyword(s):  
Sheet Metal ◽  
Process Planning ◽  
Cost Estimation ◽  
Data Exchange ◽  
Feature Recognition ◽  
Freeform Surface ◽  
Free Form ◽  
Computer Aided Process Planning ◽  
Computer Aided ◽  
Surface Sheet

This paper describes computer aided process planning for a freeform surface; sheet metal features. Automotive body panels are always manufactured using thin forming sheets; the developed CAPP system consists of two modules which are feature recognition module based on STEP AP203 and a process plan module; two additional modules for automotive panel CAPP system and cost estimation module are also incorporated in the system of punch and bending operation. Stamped or punched features in generative shape design are used to design automotive panels; the generative CAPP system is written in visual basic 2008 language and implemented in several case studies demonstrated in the present work. Feature recognition of punched; stamped internal features in free form surface recognized in base of data exchange files using STEP AP203 ISO-10303-21.

scholarly journals An Integrated model-based Approach for FMECA Development for Smart Manufacturing Applications

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Sudipto Ghoshal ◽  
Somnath Deb ◽  
Deepak Haste ◽  
Andrew Hess ◽  
Feraidoon Zahiri ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Fault Management ◽  
Failure Detection ◽  
Condition Based Maintenance ◽  
System Level ◽  
Smart Manufacturing ◽  
Subsequent Paper ◽  
Model Based ◽  
Manufacturing Applications ◽  
Criticality Analysis

Qualtech Systems, Inc. (QSI)’s integrated tool set, consisting of TEAMS-Designer® and TEAMS-RDS® provides a comprehensive model-based systems engineering approach that can be deployed for fault management throughout the equipment life-cycle – from its design for fault management to condition-based maintenance of the equipment. The TEAMS® failure-cause effect dependency model is a digital twin representation of the equipment in its failure-space and allows for various types of analyses such as testability, serviceability, failure propagation and others that facilitate fault management design of the equipment. The same model is deployed through TEAMS-RDS® for condition monitoring, prognostics, real-time health assessment, failure impact analysis, guided troubleshooting and others that facilitate condition-based maintenance as well as ensure efficient and rapid maintenance actions. In this paper, we present an overview of QSI’s integrated toolset, with a focus on a systematic model-based approach towards an automated development of Failure Effects and Criticality Analysis (FMECA) and other relevant analyses for the equipment, for an improved understanding of failure effects and their causality at the system-level. The eventual objective here is improved equipment design as well as designing improved failure detection, failure isolation and failure mitigation. The paper will also discuss examples of such real-world applications for smart manufacturing in major depot maintenance facilities in the US. A subsequent paper will focus on the development and integration of process-level and equipment-level FMECAs for Smart Manufacturing applications.

scholarly journals Computer-aided process planning in prismatic shape die components based on Standard for the Exchange of Product model data

2015 ◽  
Vol 7 (11) ◽  
pp. 168781401561982 ◽  
Author(s):  
Awais Ahmad Khan ◽  
Hussein Mohamed Hussein ◽  
Emad Samir Abouel Nasr ◽  
Abdulrahman Al-Ahmari
Keyword(s):  
Process Planning ◽  
Model Data ◽  
Product Model ◽  
Computer Aided Process Planning ◽  
Computer Aided

Product Model for Gear Units

2003 ◽  
Author(s):  
B.-R. Hoehn ◽  
K. Steingroever ◽  
M. Jaros
Keyword(s):  
Data Exchange ◽  
Load Capacity ◽  
Product Model ◽  
Cad Systems ◽  
The Public ◽  
Related Data ◽  
Iso 10303 ◽  
Definition Of ◽  
Capacity Data ◽  
A Company

During the last years it has become more and more common practice in the gear industry to exchange gear data electronically between the different parties. Up to now the format of the gear data is usually DXF, IGES or a company-specific format. A common format, which includes not only geometry data, but also load capacity and other gear-related data, was not available. Therefore a product model for gear units was developed at the FZG (Forschungsstelle fuer Zahnraeder und Getriebebau). The main goal was the realization of the data exchange between gear calculation programs, CAD-systems and a central storage of all gear data. This product model covers all kinds of gear data like gear geometry, load capacity data, lubricant data, manufacturing data, etc.. The product model for gear units is based on the application protocol AP 214 of ISO 10303 STEP. This application protocol was originally created to describe the design process of the automotive industry and does not have a sufficient definition of gear data. An extension of an existing application protocol causes time consumptive normative procedures. Therefore the structure of the product model for gear units is independent from ISO 1030-214. It consists of a mechanism, which defines a data structure acc. to ISO 10303-214, but adapted to the product model for gear units. The product model gives a description how to use ISO 10303-214 for the application of gear units. Meanwhile this product model for gear units is published as a VDMA-paper and therefore open to the public. The first successful application is the data exchange between gearcalculation programs of the FVA and CAD-systems. By this new format the data exchange of gear data is now extremely simplified.

scholarly journals Digital Twin-Driven Process and Equipment FMECA Generation for Smart Manufacturing Applications

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Jay Meyer ◽  
Venkat Malepati ◽  
Caleb Hudson ◽  
Somnath Deb ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Failure Modes ◽  
Fault Management ◽  
Automatic Generation ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Model Based ◽  
Manufacturing Applications ◽  
Criticality Analysis ◽  
Model Based Systems Engineering

Qualtech Systems, Inc. (QSI)’s integrated tool set, consisting of TEAMS-Designer® and TEAMS-RDS® provides a comprehensive digital twin-driven and model-based systems engineering approach that can be deployed for fault management throughout the equipment life-cycle – from its design for fault management to condition-based maintenance of the deployed equipment. In this paper, we present QSI’s approach towards adapting and enhancing their existing model-based systems engineering (MBSE) approach towards a comprehensive digital twin that incorporates constructs necessary for development of a Process Failure Modes and Criticality Analysis (P-FMECA) and integrates that with an Equipment FMECA. The paper will discuss the various levels of automation towards incorporation of these model constructs and their reuse towards automation of the development of the different digital twins and subsequently the automatic generation of the combined Process and Equipment FMECA. This automated ability to develop the integrated FMECA that incorporates both Process-level Failure Modes and Equipment-level Failure Modes allows the system designer and operators to correlate and identify process failures down to their root causes at the equipment-level and thereby producing a comprehensive actionable systems-level view of the entire Smart Manufacturing facility from a fault management design and operations perspective. The paper will present the application of this novel technology for the Advanced Metal Finishing Facility (AMFF) at the Warner-Robins Air Logistics Complex (WR-ALC) in Robins Air Force Base, Georgia, as part of WR-ALC’s initiative towards model-based enterprise (MBE) and smart manufacturing.

Product Data Exchange to Support Modeling and Simulation

2005 ◽  
Vol 21 (03) ◽  
pp. 160-169
Author(s):  
T. Briggs ◽  
B. Gischner ◽  
P. Lazo ◽  
P. Lazo ◽  
A. Royal ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Computer Aided Design ◽  
Data Exchange ◽  
Electrical Heating ◽  
Model Data ◽  
Product Model ◽  
Shipbuilding Industry ◽  
Product Data ◽  
Computer Aided ◽  
Aided Design

Successful and efficient exchange of product model data has been a major challenge in the shipbuilding industry for the past two decades. The Standard for the Exchange of Product Model Data (STEP) has been developed to enable this capability. Four STEP application protocols (APs) to facilitate the exchange of structural and distributed systems models in shipbuilding were completed in 2003 and were adopted by the International Organization for Standardization (ISO) by mid-2004. In August 2003, ISO 10303–216: Ship Moulded Forms (AP216) became the first shipbuilding STEP AP to be published as an international standard. Participants involved in these efforts represent several major US shipyards, the Navy, and their computer-aided design/ engineering (CAD/CAE) vendors. The thrust of shipbuilding data exchange efforts has now shifted from development to implementation. This paper will report on efforts to develop and use translators for this AP to exchange hull form product data in the ship modeling and simulation arena. In addition, process simulation is becoming common in the design of new ships to validate that the design meets the customer's specifications. Current technology requires that the ship be modeled both in the computer-aided design (CAD) environment and then repeated in the simulation workbench. Not only is this effort inefficient, but it is inherently error prone. Through the National Shipbuilding Research Program (NSRP)-sponsored Integrated Shipbuilding Environment (ISE) projects, we have developed tool sets that use AP227: Plant Spatial Configuration to permit the design to flow smoothly from the CAD workbench to the simulation workbench. This paper summarizes the efforts to develop and use a suite of tools that enables US shipyards to become more productive. It details the specific successes in using AP216 and AP227 for modeling and simulation, as well as efforts to exchange design data electronically between CAD systems. The report also outlines efforts that are underway to use other APs to successfully exchange data describing ship electrical; heating, ventilation, and air-conditioning (HVAC); and controls systems.

scholarly journals Gaps Analysis of Integrating Product Design, Manufacturing, and Quality Data in the Supply Chain Using Model-Based Defintion

2016 ◽  
Author(s):  
Asa Trainer ◽  
Thomas Hedberg ◽  
Allison Barnard Feeney ◽  
Kevin Fischer ◽  
Phil Rosche
Keyword(s):  
Supply Chain ◽  
Computer Aided Design ◽  
Data Exchange ◽  
Quality Data ◽  
Cad Tools ◽  
Data Interoperability ◽  
Geometry Model ◽  
Model Based ◽  
Computer Aided ◽  
Measuring Machine

Advances in information technology triggered a digital revolution that holds promise of reduced costs, improved productivity, and higher quality. To ride this wave of innovation, manufacturing enterprises are changing how product definitions are communicated — from paper to models. To achieve industry’s vision of the Model-Based Enterprise (MBE), the MBE strategy must include model-based data interoperability from design to manufacturing and quality in the supply chain. The Model-Based Definition (MBD) is created by the original equipment manufacturer (OEM) using Computer-Aided Design (CAD) tools. This information is then shared with the supplier so that they can manufacture and inspect the physical parts. Today, suppliers predominantly use Computer-Aided Manufacturing (CAM) and Coordinate Measuring Machine (CMM) models for these tasks. Traditionally, the OEM has provided design data to the supplier in the form of two-dimensional (2D) drawings, but may also include a three-dimensional (3D)-shape-geometry model, often in a standards-based format such as ISO 10303-203:2011 (STEP AP203). The supplier then creates the respective CAM and CMM models and machine programs to produce and inspect the parts. In the MBE vision for model-based data exchange, the CAD model must include product-and-manufacturing information (PMI) in addition to the shape geometry. Today’s CAD tools can generate models with embedded PMI. And, with the emergence of STEP AP242, a standards-based model with embedded PMI can now be shared downstream. The on-going research detailed in this paper seeks to investigate three concepts. First, that the ability to utilize a STEP AP242 model with embedded PMI for CAD-to-CAM and CAD-to-CMM data exchange is possible and valuable to the overall goal of a more efficient process. Second, the research identifies gaps in tools, standards, and processes that inhibit industry’s ability to cost-effectively achieve model-based-data interoperability in the pursuit of the MBE vision. Finally, it also seeks to explore the interaction between CAD and CMM processes and determine if the concept of feedback from CAM and CMM back to CAD is feasible. The main goal of our study is to test the hypothesis that model-based-data interoperability from CAD-to-CAM and CAD-to-CMM is feasible through standards-based integration. This paper presents several barriers to model-based-data interoperability. Overall, the project team demonstrated the exchange of product definition data between CAD, CAM, and CMM systems using standards-based methods. While gaps in standards coverage were identified, the gaps should not stop industry’s progress toward MBE. The results of our study provide evidence in support of an open-standards method to model-based-data interoperability, which would provide maximum value and impact to industry.

scholarly journals Compilation of Step Ap-214 Data to Generate Computer Aided Process Planning for Automotive Parts

2019 ◽  
Vol 9 (1) ◽  
pp. 645-653
Keyword(s):  
Process Planning ◽  
Product Information ◽  
Numerical Control ◽  
Model Data ◽  
Process Data ◽  
Product Model ◽  
Seamless Integration ◽  
Computer Aided Process Planning ◽  
Computer Aided ◽  
Feature Technology

The current manufacturing scenario feature technology which supports the integration of various systems of CAD with CAM then CAM with CAPP or any other computer aided systems. The most important function supported by feature technology the transfer of product and process data. Product model data is the standard for exchange of product information from one CAD system to different systems for seamless integration with CAM. Most of the CAD systems are developing the software’s are using STEP AP-214 product model data. AP-214 is a systematic neutral data format for developing a feature-based process planning. In this paper, collection of STEP AP-214 based product model data as stated by ISO 10303 to identify the features of the product for manufacturing of prismatic part and generating a standard process plan. Further, this process planning is used to generate computer numerical control (NC) codes for CAM system to complete the manufacturing of part.

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