Pub Date : 2021-05-12DOI: 10.14733/CADCONFP.2021.128-133
Jinpu Zhang, G. Cao, Q. Peng, R. Tan, Huan-ke Zheng
{"title":"Path Planning for Product Function Transformation based on Kruskal Algorithm","authors":"Jinpu Zhang, G. Cao, Q. Peng, R. Tan, Huan-ke Zheng","doi":"10.14733/CADCONFP.2021.128-133","DOIUrl":"https://doi.org/10.14733/CADCONFP.2021.128-133","url":null,"abstract":"","PeriodicalId":166025,"journal":{"name":"CAD'21 Proceedings","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126641284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-12DOI: 10.14733/CADCONFP.2021.303-307
Natalia Y. Rodríguez, Matteo Sangalli, Monika Smukowska, M. Covarrubias
{"title":"Haptic Feedback Glove for Arm Rehabilitation","authors":"Natalia Y. Rodríguez, Matteo Sangalli, Monika Smukowska, M. Covarrubias","doi":"10.14733/CADCONFP.2021.303-307","DOIUrl":"https://doi.org/10.14733/CADCONFP.2021.303-307","url":null,"abstract":"","PeriodicalId":166025,"journal":{"name":"CAD'21 Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129119294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-12DOI: 10.14733/CADCONFP.2021.56-60
B. Irhan
Introduction: In classical straight skeleton problem, each edge of the polygon moves inwards with a constant unit velocity in such a way that it remains essentially parallel to itself throughout the course of the shrinking process. The regions swept by the polygon edges construct the faces of the straight skeleton structure of the underlying polygon. During the shrinking process, polygon topology might change due to edge collapse and edge split events. The edge collapse event takes place at an instance when at least one edge of the polygon collapses down to a point, whereas the edge split event comes into play as at least one of the vertices hits an edge or another vertex of the polygon. The existing algorithms for the construction of straight skeletons are based on wave propagation and they make use of the additional tools like kinetic triangulation [1] or motorcycle graph [2]. The weighted version of the straight skeleton algorithm was pioneered in [3].
{"title":"A Predictor-Corrector Type Incremental Algorithm for Weighted Straight Skeletons","authors":"B. Irhan","doi":"10.14733/CADCONFP.2021.56-60","DOIUrl":"https://doi.org/10.14733/CADCONFP.2021.56-60","url":null,"abstract":"Introduction: In classical straight skeleton problem, each edge of the polygon moves inwards with a constant unit velocity in such a way that it remains essentially parallel to itself throughout the course of the shrinking process. The regions swept by the polygon edges construct the faces of the straight skeleton structure of the underlying polygon. During the shrinking process, polygon topology might change due to edge collapse and edge split events. The edge collapse event takes place at an instance when at least one edge of the polygon collapses down to a point, whereas the edge split event comes into play as at least one of the vertices hits an edge or another vertex of the polygon. The existing algorithms for the construction of straight skeletons are based on wave propagation and they make use of the additional tools like kinetic triangulation [1] or motorcycle graph [2]. The weighted version of the straight skeleton algorithm was pioneered in [3].","PeriodicalId":166025,"journal":{"name":"CAD'21 Proceedings","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132652781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-12DOI: 10.14733/CADCONFP.2021.21-25
Xiaoxiao Du, Gang Zhao, Wei Wang
Introduction: The virtual element method (VEM), introduced in [3] is designed for solving numerical problems de ned on arbitrarily shaped polygonal/polyhedral discretizations. Therefore, it will greatly alleviate the heavy burden placed on meshing complex CAD geometries when compared with the traditional nite element method. Furthermore, VEM could handle the non-conforming discretizations by allowing the existence of hanging nodes, which are treated as normal nodes in the element. The local h-re nement and p-version re nement could be easily implemented under the VEM framework. So far VEM has been successfully applied to solve various problems including topology optimization, contact, fracture, plate bending and vibration, inelasticity. In this work, we develop an arbitrary order virtual element method for the static bending analysis of Reissner-Mindlin plates. The transverse displacement and rotations are independently interpolated with the functions de ned in VEM spaces. The interpolation functions for transverse displacement are one degree higher than the functions for rotations. A benchmark problem is studied to verify the developed method. The optimal convergence rates for transverse displacement and rotations could be obtained from the numerical example.
[3]中介绍的虚元法(virtual element method, VEM)是为求解任意形状多边形/多面体离散化的数值问题而设计的。因此，与传统的有限元方法相比，它将大大减轻复杂CAD几何图形的网格划分负担。此外，VEM通过允许悬挂节点的存在来处理非一致性离散化，将悬挂节点视为单元中的正常节点。在VEM框架下，本地h-re元素和p-version元素可以很容易地实现。到目前为止，VEM已经成功地应用于解决各种问题，包括拓扑优化、接触、断裂、板的弯曲和振动、非弹性。在这项工作中，我们开发了一种用于Reissner-Mindlin板静态弯曲分析的任意阶虚元方法。横向位移和旋转分别与VEM空间中定义的函数独立插值。横向位移的插值函数比旋转的插值函数高1度。通过一个基准问题对所提出的方法进行了验证。通过算例可以得到横向位移和旋转的最优收敛速率。
{"title":"A Virtual Element Method for the Static Bending Analysis of Reissner-Mindlin Plates","authors":"Xiaoxiao Du, Gang Zhao, Wei Wang","doi":"10.14733/CADCONFP.2021.21-25","DOIUrl":"https://doi.org/10.14733/CADCONFP.2021.21-25","url":null,"abstract":"Introduction: The virtual element method (VEM), introduced in [3] is designed for solving numerical problems de ned on arbitrarily shaped polygonal/polyhedral discretizations. Therefore, it will greatly alleviate the heavy burden placed on meshing complex CAD geometries when compared with the traditional nite element method. Furthermore, VEM could handle the non-conforming discretizations by allowing the existence of hanging nodes, which are treated as normal nodes in the element. The local h-re nement and p-version re nement could be easily implemented under the VEM framework. So far VEM has been successfully applied to solve various problems including topology optimization, contact, fracture, plate bending and vibration, inelasticity. In this work, we develop an arbitrary order virtual element method for the static bending analysis of Reissner-Mindlin plates. The transverse displacement and rotations are independently interpolated with the functions de ned in VEM spaces. The interpolation functions for transverse displacement are one degree higher than the functions for rotations. A benchmark problem is studied to verify the developed method. The optimal convergence rates for transverse displacement and rotations could be obtained from the numerical example.","PeriodicalId":166025,"journal":{"name":"CAD'21 Proceedings","volume":"86 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131592619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-12DOI: 10.14733/CADCONFP.2021.177-181
Harshil S. Shah, Xin Huang, O. Bingol, M. Rajanna, A. Krishnamurthy
Introduction: Isogeometric analysis (IGA) [1] has enabled better CAD integration by using the same spline representations (Non-Uniform Rational B-Splines, NURBS) for modeling and analysis. Traditionally, the nite element analysis results are visualized by creating a texture map of the property of interest and superimposing them over the boundary representation (B-rep) model or the mesh. This technique cannot be directly used to render internal quantities of interest without computationally intensive sectioning and remapping of the textures, which does not allow for interactive interrogation of the analysis results. Ray-casting is usually used to render volume data and is computationally more intensive than rasterization. Performing ray casting with volumetric splines used in IGA is still computationally intensive to perform interactively. In this work, we rst voxelize the isogeometric mesh using a GPU-accelerated ray intersection algorithm for cubic-Bézier volumes to convert volumetric splines to time-varying voxelized data structures. We then use GPU ray casting to volume-render the time frames of the simulation. This approach leads to interactive volume rendering of the results of dynamic IGA simulations, allowing for real-time manipulation in the 3D environment. One of the early algorithms to compute ray intersection with surfaces can be found in [2], where they reduce the ray-surface intersection to computing roots of a polynomial. [4] presented the Newton iteration technique that uses subdivisions of a surface to compute all the roots for the ray-surface combinations. [3] developed a method to decompose the NURBS surfaces into Bézier patches and then perform the triangulation of the surface for rendering. However, most of these previous approaches were not fast enough for animated volume rendering or mainly rendered the analysis results on surfaces as textures. To voxelize the IGA models, we rst decompose the NURBS elements into Bézier elements by performing Bézier extraction. This is required to deal with the non-uniformity of the knot vector in a general NURBS element. We then perform a modi ed ray intersection test with the six Bézier surfaces of the element using a grid of rays. We then generate a variable density voxel model representing the analysis results using the intersection data, which is repeated for the di erent time frames of the analysis. The
{"title":"GPU-Accelerated Post-Processing and Animated Volume Rendering of Isogeometric Analysis Results","authors":"Harshil S. Shah, Xin Huang, O. Bingol, M. Rajanna, A. Krishnamurthy","doi":"10.14733/CADCONFP.2021.177-181","DOIUrl":"https://doi.org/10.14733/CADCONFP.2021.177-181","url":null,"abstract":"Introduction: Isogeometric analysis (IGA) [1] has enabled better CAD integration by using the same spline representations (Non-Uniform Rational B-Splines, NURBS) for modeling and analysis. Traditionally, the nite element analysis results are visualized by creating a texture map of the property of interest and superimposing them over the boundary representation (B-rep) model or the mesh. This technique cannot be directly used to render internal quantities of interest without computationally intensive sectioning and remapping of the textures, which does not allow for interactive interrogation of the analysis results. Ray-casting is usually used to render volume data and is computationally more intensive than rasterization. Performing ray casting with volumetric splines used in IGA is still computationally intensive to perform interactively. In this work, we rst voxelize the isogeometric mesh using a GPU-accelerated ray intersection algorithm for cubic-Bézier volumes to convert volumetric splines to time-varying voxelized data structures. We then use GPU ray casting to volume-render the time frames of the simulation. This approach leads to interactive volume rendering of the results of dynamic IGA simulations, allowing for real-time manipulation in the 3D environment. One of the early algorithms to compute ray intersection with surfaces can be found in [2], where they reduce the ray-surface intersection to computing roots of a polynomial. [4] presented the Newton iteration technique that uses subdivisions of a surface to compute all the roots for the ray-surface combinations. [3] developed a method to decompose the NURBS surfaces into Bézier patches and then perform the triangulation of the surface for rendering. However, most of these previous approaches were not fast enough for animated volume rendering or mainly rendered the analysis results on surfaces as textures. To voxelize the IGA models, we rst decompose the NURBS elements into Bézier elements by performing Bézier extraction. This is required to deal with the non-uniformity of the knot vector in a general NURBS element. We then perform a modi ed ray intersection test with the six Bézier surfaces of the element using a grid of rays. We then generate a variable density voxel model representing the analysis results using the intersection data, which is repeated for the di erent time frames of the analysis. The","PeriodicalId":166025,"journal":{"name":"CAD'21 Proceedings","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130509105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-12DOI: 10.14733/CADCONFP.2021.241-245
Dheeraj Agarwal, P. Sahu
Introduction: Parametrization is at the core of optimization, as it defines the design space that the optimizing algorithm explores. The success of any shape optimization methodology depends extensively on the type of parameterization technique employed [10]. One straightforward route which results in the most flexible parametrization strategy is to use the nodes of the computational mesh as the design variables. One major drawback for this parameterization strategy is that, as all surface mesh nodes can move independently, the implementation of a smoothing algorithm is required to prevent the appearance of non-smooth shapes during the optimization process. In this regard, the Free-form deformation (FFD) techniques have been successfully implemented for aerodynamic shape optimization problems [Ref]. The benefit of this approach is that it imparts smooth deformations to the analysis mesh and enables the parameterization to alter the thickness, sweep, twist, etc. for the design of an aerospace system. However, in either of these parameterization strategies it is only the mesh which reaches the optimum, and must be translated into a CAD model before it can be used for further analysis or manufacturing assessments. Thus, to align with the industrial ambition of having a more integrated design workflow, the compatibility of design parameterization with Computer-Aided Design (CAD) software has become very important. In the recent past, some authors have attempted to develop optimization processes based on parameterization developed with CAD systems. These include, parameterization based on nonuniform rational B-splines (NURBS) [8], B-Splines in the Open-Cascade Technology [6], parameters defining CAD features [3] and Bezier curves [4] within CATIA V5. But there has been no standard approach which can be followed to parameterize different airfoil geometries and can also be used within CAD systems. In this research, a unified approach is presented to obtain the Bezier parameterizations for different airfoil geometries obtained from the UIUC Airfoil Data Site [2].
{"title":"A Unified Approach for Airfoil Parameterization Using Bezier Curves","authors":"Dheeraj Agarwal, P. Sahu","doi":"10.14733/CADCONFP.2021.241-245","DOIUrl":"https://doi.org/10.14733/CADCONFP.2021.241-245","url":null,"abstract":"Introduction: Parametrization is at the core of optimization, as it defines the design space that the optimizing algorithm explores. The success of any shape optimization methodology depends extensively on the type of parameterization technique employed [10]. One straightforward route which results in the most flexible parametrization strategy is to use the nodes of the computational mesh as the design variables. One major drawback for this parameterization strategy is that, as all surface mesh nodes can move independently, the implementation of a smoothing algorithm is required to prevent the appearance of non-smooth shapes during the optimization process. In this regard, the Free-form deformation (FFD) techniques have been successfully implemented for aerodynamic shape optimization problems [Ref]. The benefit of this approach is that it imparts smooth deformations to the analysis mesh and enables the parameterization to alter the thickness, sweep, twist, etc. for the design of an aerospace system. However, in either of these parameterization strategies it is only the mesh which reaches the optimum, and must be translated into a CAD model before it can be used for further analysis or manufacturing assessments. Thus, to align with the industrial ambition of having a more integrated design workflow, the compatibility of design parameterization with Computer-Aided Design (CAD) software has become very important. In the recent past, some authors have attempted to develop optimization processes based on parameterization developed with CAD systems. These include, parameterization based on nonuniform rational B-splines (NURBS) [8], B-Splines in the Open-Cascade Technology [6], parameters defining CAD features [3] and Bezier curves [4] within CATIA V5. But there has been no standard approach which can be followed to parameterize different airfoil geometries and can also be used within CAD systems. In this research, a unified approach is presented to obtain the Bezier parameterizations for different airfoil geometries obtained from the UIUC Airfoil Data Site [2].","PeriodicalId":166025,"journal":{"name":"CAD'21 Proceedings","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121269769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-12DOI: 10.14733/CADCONFP.2021.198-202
L. Lechelek, S. Gerbaud, R. Zrour, Mathieu Naudin, C. Guillevin, S. Horna
The work presented in this paper is about comparison and analysis of four different reconstruction methods applicable to MR images. Two of them are based on the marching cube algorithm and the other two are contour based algorithms. We describe the studied reconstruction methods and compare their results. The comparative study examined, allows to establish similarity, equivalence, or distinctness between the four methods. We show that the various reconstruction methods produce different 3D models and each one has its own advantages and limitations.
{"title":"Comparative Study of 3D Reconstruction Methods for Medical Imaging","authors":"L. Lechelek, S. Gerbaud, R. Zrour, Mathieu Naudin, C. Guillevin, S. Horna","doi":"10.14733/CADCONFP.2021.198-202","DOIUrl":"https://doi.org/10.14733/CADCONFP.2021.198-202","url":null,"abstract":"The work presented in this paper is about comparison and analysis of four different reconstruction methods applicable to MR images. Two of them are based on the marching cube algorithm and the other two are contour based algorithms. We describe the studied reconstruction methods and compare their results. The comparative study examined, allows to establish similarity, equivalence, or distinctness between the four methods. We show that the various reconstruction methods produce different 3D models and each one has its own advantages and limitations.","PeriodicalId":166025,"journal":{"name":"CAD'21 Proceedings","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115889457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-12DOI: 10.14733/CADCONFP.2021.256-260
Marcello Lorusso, M. Rossoni, M. Bordegoni, G. Colombo, M. Carulli
Introduction The matter of Virtual Reality as a breakthrough technology in the design and engineering domains has recently become an interesting topic within the research community. In fact, in the current state, hardware and software tools have become widely available on the market, they are generally easily a ordable and have reached a decent level of optimization to be integrated into the design development work ow. Despite this, when considering industrial design and the complex shape generation methods needed for everyday products as well as in the automotive/transportation elds, the industry seems quite reluctant to embrace these new possibilities, sticking with traditional approaches that are deemed as more reliable. The reasons behind this mismatch are several. There are still some technological limitations that set more analog methods apart. For instance, we are still far from achieving a realistic feel of touch in Virtual Reality environments, though many e orts are also going in this direction [4]. The relevance of this aspect cannot be overlooked, given its importance in relation to some very common techniques such as physical clay modeling. As a result, many di erent approaches that have taken advantage of Virtual Reality have been investigated at research level in the last decade, and while few have actually turned into commercial successes, each contributed to pave the way in the current direction. However, the novelty of such a breakthrough technology also meant that interaction systems and user experiences in general had to be rethought from the ground up compared to traditional desktop solutions, which in turn have reached a very established level of con gurability in these regards. This aspect is enticing and yet critical at the same time: it is now possible to reimagine the user experience in ways that weren't even conceivable until a few years ago. On the other hand, Virtual Reality developers that are willing to invest their e orts in this domain have to face against the lack of well de ned guidelines, protocols and assessment methods to properly understand the actual potential of such solutions.
{"title":"The Issue of Virtual Reality in Industrial Design: a Discussion on Its Adoption and New Possible Approaches","authors":"Marcello Lorusso, M. Rossoni, M. Bordegoni, G. Colombo, M. Carulli","doi":"10.14733/CADCONFP.2021.256-260","DOIUrl":"https://doi.org/10.14733/CADCONFP.2021.256-260","url":null,"abstract":"Introduction The matter of Virtual Reality as a breakthrough technology in the design and engineering domains has recently become an interesting topic within the research community. In fact, in the current state, hardware and software tools have become widely available on the market, they are generally easily a ordable and have reached a decent level of optimization to be integrated into the design development work ow. Despite this, when considering industrial design and the complex shape generation methods needed for everyday products as well as in the automotive/transportation elds, the industry seems quite reluctant to embrace these new possibilities, sticking with traditional approaches that are deemed as more reliable. The reasons behind this mismatch are several. There are still some technological limitations that set more analog methods apart. For instance, we are still far from achieving a realistic feel of touch in Virtual Reality environments, though many e orts are also going in this direction [4]. The relevance of this aspect cannot be overlooked, given its importance in relation to some very common techniques such as physical clay modeling. As a result, many di erent approaches that have taken advantage of Virtual Reality have been investigated at research level in the last decade, and while few have actually turned into commercial successes, each contributed to pave the way in the current direction. However, the novelty of such a breakthrough technology also meant that interaction systems and user experiences in general had to be rethought from the ground up compared to traditional desktop solutions, which in turn have reached a very established level of con gurability in these regards. This aspect is enticing and yet critical at the same time: it is now possible to reimagine the user experience in ways that weren't even conceivable until a few years ago. On the other hand, Virtual Reality developers that are willing to invest their e orts in this domain have to face against the lack of well de ned guidelines, protocols and assessment methods to properly understand the actual potential of such solutions.","PeriodicalId":166025,"journal":{"name":"CAD'21 Proceedings","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126702314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-12DOI: 10.14733/CADCONFP.2021.223-225
Yogesh H. Kulkarni
{"title":"MidcurveNN: Neural Network for Computing Midcurve of a Thin Polygon","authors":"Yogesh H. Kulkarni","doi":"10.14733/CADCONFP.2021.223-225","DOIUrl":"https://doi.org/10.14733/CADCONFP.2021.223-225","url":null,"abstract":"","PeriodicalId":166025,"journal":{"name":"CAD'21 Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126640220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-12DOI: 10.14733/CADCONFP.2021.149-153
F. Mandorli, Herald Otto
Introduction: Current developments and recent work in educational research have been aimed at creating awareness of and addressing the most prominent shortcomings and failures of current CAD education, in particular at institutions of higher education. Such efforts have provided new insights and recommendations, although the work is still limited and the results sometimes contradictory. Obviously, there is demand for a change of focus in traditional CAD education from the declarative knowledge relating to geometric algorithms and commands required for operating a CAD system, in the literature referred to as command knowledge, toward knowledge and expertise which can transcend a particular CAD system. This demand highlights the need for higher level thinking relating to what is commonly known as strategic knowledge, i.e. knowledge of the different methods of achieving a specific task (goal) and knowing how to choose among those methods. This requires, among other factors, a high-quality learning experience during frequent educational exercises in the CAD laboratory, providing opportunities for students to experience both design and creation of their own CAD models and the re-design and alteration of them. This also includes promoting good design practice by relating CAD model attributes and parameters to part functionality and design intent, which, in turn, depends on the restructuring of curricula. Current efforts are aimed at designing alternative teaching approaches and integrating suitable elements of those into CAD education so that it is transformed into a more student-centered, learning-oriented and practice-oriented system. It needs to be better structured so that it efficiently and effectively matches actual student learning outcomes with skills and competencies related to, among other attributes, spatial ability and mental visualization, cognitive model composition, meta-cognitive processes including planning, predicting, revision, and, most importantly, self-assessment and self-regulation (cf. [9,11,12]).
{"title":"Improving the Learning Experience within MCAD Education: A Tool for Students to Assist in Self-Assessment during Modeling Exercises","authors":"F. Mandorli, Herald Otto","doi":"10.14733/CADCONFP.2021.149-153","DOIUrl":"https://doi.org/10.14733/CADCONFP.2021.149-153","url":null,"abstract":"Introduction: Current developments and recent work in educational research have been aimed at creating awareness of and addressing the most prominent shortcomings and failures of current CAD education, in particular at institutions of higher education. Such efforts have provided new insights and recommendations, although the work is still limited and the results sometimes contradictory. Obviously, there is demand for a change of focus in traditional CAD education from the declarative knowledge relating to geometric algorithms and commands required for operating a CAD system, in the literature referred to as command knowledge, toward knowledge and expertise which can transcend a particular CAD system. This demand highlights the need for higher level thinking relating to what is commonly known as strategic knowledge, i.e. knowledge of the different methods of achieving a specific task (goal) and knowing how to choose among those methods. This requires, among other factors, a high-quality learning experience during frequent educational exercises in the CAD laboratory, providing opportunities for students to experience both design and creation of their own CAD models and the re-design and alteration of them. This also includes promoting good design practice by relating CAD model attributes and parameters to part functionality and design intent, which, in turn, depends on the restructuring of curricula. Current efforts are aimed at designing alternative teaching approaches and integrating suitable elements of those into CAD education so that it is transformed into a more student-centered, learning-oriented and practice-oriented system. It needs to be better structured so that it efficiently and effectively matches actual student learning outcomes with skills and competencies related to, among other attributes, spatial ability and mental visualization, cognitive model composition, meta-cognitive processes including planning, predicting, revision, and, most importantly, self-assessment and self-regulation (cf. [9,11,12]).","PeriodicalId":166025,"journal":{"name":"CAD'21 Proceedings","volume":"1229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122017464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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