Development of an approach for Knowledge-Based System for CAD modelling

Reddy, E. Jayakiran; Venkatachalapathi, N.; Rangadu, V. Pandu

doi:10.1016/j.matpr.2018.02.330

Cited by 13 publications

(3 citation statements)

References 5 publications

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“…Subsequently, the development of rule-based design steps for custom features or components is the next phase and, in the end, implementation is performed using SolidWorks API functionalities. In Figure 1, a schema is presented for a knowledge-based system for CAD modeling proposed by (Jayakiran Reddy et al, 2018). Every system must be linked to a knowledge base that comprises experience and knowledge rules applied by design professionals.…”

Section: Related Workmentioning

confidence: 99%

Drawing Automation Approach Using Solidworks Api

Gutai,

Dukić,

Anderla

et al. 2023

19th International Scientific Conference on Industrial Systems

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The automation of repetitive processes included in the design phase represents an emerging trend in the CAD industry. Automation plays a crucial role in the reduction and minimization of time-consuming and error-prone tasks. In technical drawings it provides a higher level of precision by ensuring that standards and design principles are applied uniformly across all drawings. The aim of the paper is to improve the drawing process in terms of modification efficiency and quality, leading to a shortened time required to complete a design and accelerate time to market. In this paper, the automation process for creating drawings is proposed using SolidWorks API macros. In order to create standardized documentation, a macro is created in which tasks related to views, dimensions, formats, and annotations are unified and automated. With the suggested technique, new drawings can be made with minimal user input based on the CAD model.

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Section: Related Workmentioning

confidence: 99%

Drawing Automation Approach Using Solidworks Api

Gutai,

Dukić,

Anderla

et al. 2023

19th International Scientific Conference on Industrial Systems

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“…Accurately estimated processing time can help the factory work arrangements and well-control the delivery time. In the literature related to CAD / CAM secondary development, there are many literatures showing that conventional CAD / CAM software only meet the general needs of the market, but can't meet the needs of specific fields, so the development of customized CAD / CAM modules can effectively improve work efficiency [1,2,3]. In the literature of automatic feature recognition based on CAD / CAM, Nasr et al [4] proposed an Intelligent Feature Recognition Methodology (IFRM) to develop a feature recognition system that can be connected with various CAD / CAM systems.…”

Section: Introductionmentioning

confidence: 99%

Verification and Learning of Feature Automatic Recognition with Time Prediction for EDM and WEDM

Fu,

Jong,

Ting

et al. 2024

Advances in Science and Technology

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With the rapid development of smart manufacturing, traditional processing is gradually moving towards automation, and the mold industry is no exception. Facing the ever-changing and complex product demands, the requirements for efficiency and precision are also increasing. However, currently most of the parts process planning rely on experienced personnel. They will decide the machining sequence and schedule according to the manufacturing method for the parts, and then use Computer-aided Manufacturing (CAM) software to simulate the processing time. Manual operation not only requires a lot of human-resource costs but also increase the lead time required for manufacturing, and even because of those human errors, resulting in delays for delivery. On the other hand, the trend of processing automation makes the accuracy of processing time estimation more important. Therefore, this study develops a navigating system to shorten the processing lead time by simplifying the operation process and combine regression analysis to improve the accuracy of machining-time estimation. This study uses ASP.NET MVC Framework as the framework and applied Computer-aided Design (CAD) software, Siemens NX (also known as NX Unigraphics, or UG for short), to create a machining navigating system on its secondary development module for Wire Electrical Discharge Machining (WEDM), Electrical Discharge Machining (EDM). Moreover, it integrates the existing CNC milling machine machining navigating process. This study identifies the features of WEDM and EDM through automatic recognition, and then navigate the user to perform Numerical Control (NC) programming with automatic settings and simple parameter input, and finally generate NC Codes automatically. For the EDM, the system will automatically decide the processing range and generate electrode heads after the feature recognition is confirmed. The processing parameters will be stored in the Microsoft SQL Server Express database and sent to the linear regression analysis model. The actual machining time is used as the training label to optimize the parameters in order to improve the accuracy of the estimated working hours. The navigating system in this study can effectively shorten the processing simulation operation time by 84%, and at the same time a large amount of training data for regression analysis training can be generated. The maximum and average errors of machining time is reduced from 45%/32% to 23%/12%, which improves production efficiency and the accuracy of scheduling.

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“…One possible way is to use an application programming interface (API), which is part of many CAD systems [19]- [21]. In this case, the SolidWorks CAD system is used, with the help of which it is possible not only to create 3D models [22], [23] Development of an approach for knowledge-based system for CAD modeling, but also to perform their kinematic and dynamic analyzes. The results from these analyzes can then be used in strength analyzes or topological optimizations.…”

Section: Introductionmentioning

confidence: 99%

Automation of the design of the cross-section of the manipulator arms profile

Mihola

Zeman

Fojtik

2021

IJRA

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<p>The design of the arms of industrial robots and manipulators is a demanding process both in ter ms of expertise and in terms of the time required. For these reasons, algorithms have been created, with the help of which it is possible to design cross - sections of individual arms of robots and manipulators not only from the point of view of maximum allo wed deflection but also from the point of view of minimizing cross - sectional dimensions or minimizing the weight of arms. These algorithms were subsequently used in the development of the software tool RobotArmDesign, with the help of which it is possible to simplify and shorten the arm design process significantly. This tool also has a connection to the SolidWorks CAD system and its simulation tools through its API interface, making it possible to refine robot arms designs while maintaining significantly s horter design times than would be the case with commonly used procedures. This tool's capabilities were demonstrated in the design of a robot arm with an angular structure and five degrees of freedom.</p>

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Development of an approach for Knowledge-Based System for CAD modelling

Cited by 13 publications

References 5 publications

Drawing Automation Approach Using Solidworks Api

Drawing Automation Approach Using Solidworks Api

Verification and Learning of Feature Automatic Recognition with Time Prediction for EDM and WEDM

Automation of the design of the cross-section of the manipulator arms profile

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