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Execution system for weld analysis
Contexts in source publication
Context 1
... OUTPUT part consists of a Result's post processing system, which process the results taken from each evaluation rule for each weld method for each weld joint and gives a summary of the weld analysis including WI and approximated 'cost of welding'. Figure 5 shows a view from the execution system. ...
Context 2
... illustrative example of a fictitious engine component with details extraction is provided. This CATIA Part file has been attached to the input part of the execution system ( Figure 5). The input part of the execution system is in turn connected to the analysis part, which consist of weldability evaluation system in the form of rule checks. ...
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Citations
... Based on this specific knowledge about an edge feature, blends or chamfers could be assigned automatically. KBE approaches to assess weld types also exist as demonstrated in [15], where a CATIA Part file was used as an input to evaluate weldability and cost. MS Excel evaluation file was used with the implemented "IF-Then" logic to give an "ok", "not ok" output for specific weld methods, e.g., TIG or LaserBeam, in addition to the associated cost. ...
... Likewise, the authors believe that there are advantages and potentials in such systems despite the current lack in published work. Of the few found with some relevancy, most focus on the characterization, such as [15] and [10]. Furthermore, publicly available industrial implementations and commercially available feature recognition systems exist [33]. ...
In this paper, a CAD integrated method is proposed for automatic recognition of potential weld locations in large assembly structures predominantly comprised of weld joints. The intention is to reduce the total man-hours spent on manually locating, assigning, and maintaining weld-related information throughout the product life cycle. The method utilizes spatial analysis of extracted stereolithographic data in combination with available CAD functions to determine whether the accessibility surrounding a given intersection edge is sufficient for welding. To demonstrate the method, a system is developed in Siemens NX using their NXOpen Python API. The paper presents the application of the method to real-life use cases in varying complexity in cooperation with industrial partners. The system is able to correctly recognize almost all weld lines for the parts considered within a few minutes. Some exceptions are known for particular intersection lines located deep within notched joints and geometries weldable through sequential assembly, which are left as a subject to further works.
... Howtomation has been used to manage knowledge objects in several different types of engineering applications. An example from the aerospace industry is given in Pabolu et al. (2016). ...
... The automation was done in the Howtomation® software, developed by one of the authors of this paper. The software has been presented before in this conference [8,10] and has now been extended to support the documentation through e-books. ...
Knowledge objects are used to automate engineering processes in a flexible and scalable way. The focus of knowledge objects has been the automation of engineering design. However, in this paper we present a way to integrate knowledge objects into e-books so that formalized engineering knowledge can be read by any stakeholder and still be automatically applied by the system from the same file. The paper shows how different stakeholders throughout the life-cycle of a design automation system benefit from the knowledge object and e-book integration, how the integration is done and an example where the integration was applied. The example is a real example from industry.
... platform and implements knowledge objects as described in this article. The knowledge objects for weldability analysis were developed by Pabolu [20] and was applied to jet-engine components, see Figure 3 for an example. ...
... To the left the parameter tree from the CAD-system is visible with named paramters. [20]. ...
Mass customization and product individualization are driving factors behind design automation, which in turn are enabled through the formalization and automation of engineering work. The goal is to offer customers optimized solutions to their needs timely and as profitable as possible. The path to achieve such a remarkable goal can be very winding and tricky for many companies, or even non-existing at the moment being. To succeed requires three essential parts: formally represented product knowledge, facilities to automatically apply the product knowledge, and optimization algorithms. This paper shows how these three parts can be supported in engineer-to-order businesses through the concept of knowledge objects. Knowledge Objects are human readable descriptions of formalized knowledge bundled with corresponding computer routines for the automation of that knowledge. One case example is given at the end of the paper to demonstrate the use of knowledge objects.
