Pub Date : 2022-06-08DOI: 10.14733/cadconfp.2022.329-333
Csaba Bálint, Gábor Valasek, L. Gergó
Introduction: Our paper presents a general theoretical framework to investigate the quantitative aspects of bounding distance functions. We propose a precision de nition that quanti es the accuracy of the min/max representation of set-theoretic operations [5] in the entire space and demonstrate how the precision and the geometric con guration of the arguments determine the accuracy of the resulting approximation. Our theorems can be applied in an arbitrary geometrical context, e.g., for objects with or without volumes, implicit curves, non-di erentiable or non-manifold surfaces, fractals, and any combination of these. We identify a subset of Hart's signed distance lower bounds [3] called signed distance function estimates (SDFE) and show that the sphere tracing algorithm retains convergence under set-theoretic union and intersection operations, a result for which a general derivation has not yet been presented. Most so-called distance estimates used by the industry and the online creative coding communities such as ShaderToy are SDFEs, placing no practical restrictions on the applicability of our results. This paper builds upon the theoretical results of Luo et al. [4], Bálint et al.[1], and Valasek et al. [6].
{"title":"Operations on Signed Distance Function Estimates","authors":"Csaba Bálint, Gábor Valasek, L. Gergó","doi":"10.14733/cadconfp.2022.329-333","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.329-333","url":null,"abstract":"Introduction: Our paper presents a general theoretical framework to investigate the quantitative aspects of bounding distance functions. We propose a precision de nition that quanti es the accuracy of the min/max representation of set-theoretic operations [5] in the entire space and demonstrate how the precision and the geometric con guration of the arguments determine the accuracy of the resulting approximation. Our theorems can be applied in an arbitrary geometrical context, e.g., for objects with or without volumes, implicit curves, non-di erentiable or non-manifold surfaces, fractals, and any combination of these. We identify a subset of Hart's signed distance lower bounds [3] called signed distance function estimates (SDFE) and show that the sphere tracing algorithm retains convergence under set-theoretic union and intersection operations, a result for which a general derivation has not yet been presented. Most so-called distance estimates used by the industry and the online creative coding communities such as ShaderToy are SDFEs, placing no practical restrictions on the applicability of our results. This paper builds upon the theoretical results of Luo et al. [4], Bálint et al.[1], and Valasek et al. [6].","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369095","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 : 2022-06-08DOI: 10.14733/cadconfp.2022.297-301
R. Nishat, Yeganeh Bahoo, Konstantinos Georgiou, R. Hedrick, J. Urbanic
Authors: Rahnuma Islam Nishat, rahnuma.nishat@ubc.ca, University of British Columbia, Canada Yeganeh Bahoo, bahoo@torontomu.ca, Toronto Metropolitan University, Canada Konstantinos Georgiou, konstantinos@torontomu.ca, Toronto Metropolitan University, Canada Robert Hedrick, bob.hedrick@camufacturing.com, CAMufacturing Solutions Inc., Canada R. Jill Urbanic, jurbanic@uwindsor.ca, University of Windsor, Canada
作者:Rahnuma Islam Nishat, rahnuma.nishat@ubc.ca，加拿大英属哥伦比亚大学Yeganeh Bahoo, bahoo@torontomu.ca，加拿大多伦多城市大学Konstantinos Georgiou, konstantinos@torontomu.ca，加拿大多伦多城市大学Robert Hedrick, bob.hedrick@camufacturing.com，加拿大manufacturing Solutions Inc. R. Jill Urbanic, jurbanic@uwindsor.ca，加拿大温莎大学
{"title":"Collision-Free Multi-Axis Tool-Path for Additive Manufacturing","authors":"R. Nishat, Yeganeh Bahoo, Konstantinos Georgiou, R. Hedrick, J. Urbanic","doi":"10.14733/cadconfp.2022.297-301","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.297-301","url":null,"abstract":"Authors: Rahnuma Islam Nishat, rahnuma.nishat@ubc.ca, University of British Columbia, Canada Yeganeh Bahoo, bahoo@torontomu.ca, Toronto Metropolitan University, Canada Konstantinos Georgiou, konstantinos@torontomu.ca, Toronto Metropolitan University, Canada Robert Hedrick, bob.hedrick@camufacturing.com, CAMufacturing Solutions Inc., Canada R. Jill Urbanic, jurbanic@uwindsor.ca, University of Windsor, Canada","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132950047","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 : 2022-06-08DOI: 10.14733/cadconfp.2022.344-349
Tingcheng Li, R. Lou, A. Polette, Zilong Shao, Dominique Nozais, J. Pernot
Authors: Tingcheng Li, tingcheng.li@ensam.eu, Arts et Metiers Institute of Technology, LISPEN Ruding Lou, ruding.lou@ensam.eu, Arts et Metiers Institute of Technology, LISPEN Arnaud Polette, arnaud.polette@ensam.eu, Arts et Metiers Institute of Technology, LISPEN Zilong Shao, zilong.shao@i-mc.fr, Innovative Manufacturing and Control, I-MC Dominique Nozais, dominique.nozais@i-mc.fr, Innovative Manufacturing and Control, I-MC Jean-Philippe Pernot, jean-philippe.pernot@ensam.eu, Arts et Metiers Institute of Technology, LISPEN
{"title":"On the Use of Quality Metrics to Characterize Structured Light-based Point Cloud Acquisitions","authors":"Tingcheng Li, R. Lou, A. Polette, Zilong Shao, Dominique Nozais, J. Pernot","doi":"10.14733/cadconfp.2022.344-349","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.344-349","url":null,"abstract":"Authors: Tingcheng Li, tingcheng.li@ensam.eu, Arts et Metiers Institute of Technology, LISPEN Ruding Lou, ruding.lou@ensam.eu, Arts et Metiers Institute of Technology, LISPEN Arnaud Polette, arnaud.polette@ensam.eu, Arts et Metiers Institute of Technology, LISPEN Zilong Shao, zilong.shao@i-mc.fr, Innovative Manufacturing and Control, I-MC Dominique Nozais, dominique.nozais@i-mc.fr, Innovative Manufacturing and Control, I-MC Jean-Philippe Pernot, jean-philippe.pernot@ensam.eu, Arts et Metiers Institute of Technology, LISPEN","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"468 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127543968","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 : 2022-06-08DOI: 10.14733/cadconfp.2022.350-354
Yifan Qie, N. Anwer
{"title":"Invariance Class-based Surface Reconstruction using Deep Learning","authors":"Yifan Qie, N. Anwer","doi":"10.14733/cadconfp.2022.350-354","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.350-354","url":null,"abstract":"","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"884 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123689855","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 : 2022-06-08DOI: 10.14733/cadconfp.2022.360-366
Wang Luli, Zhang Linyi, Zhang Hao
construction firms to get BIM models shows that nearly 80% of firms need to build BIM models by themselves, and only 8.87% models are provided by clients or design firms. The low rate of BIM implement level in design firms is a gigantic waste from the perspective of the project ’ s whole lifecycle.
{"title":"Step towards Informatization: Restrictive Factors and Strategies of BIM Technique’s Popularization in China's AEC Field and Its Adoption in Professional Practice","authors":"Wang Luli, Zhang Linyi, Zhang Hao","doi":"10.14733/cadconfp.2022.360-366","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.360-366","url":null,"abstract":"construction firms to get BIM models shows that nearly 80% of firms need to build BIM models by themselves, and only 8.87% models are provided by clients or design firms. The low rate of BIM implement level in design firms is a gigantic waste from the perspective of the project ’ s whole lifecycle.","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122563206","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 : 2022-06-08DOI: 10.14733/cadconfp.2022.313-317
Jacopo Lettori, Roberto Raffaeli, Milton Borsato, M. Pellicciari, M. Peruzzini
Introduction: Additive Manufacturing (AM) are implemented with robotic manipulators [12] to increase process flexibility in the last decades. Also, researchers have used work tables with certain degrees of freedom [6] for the same aim. Direct Energy Deposition (DED) [9] is one of the solutions for Robot-Based AM (RBAM). The material is deposited from a nozzle onto support [1]. The raw material can be in wire or powder form. Recently, Wire and Arc Additive Manufacturing (WAAM), a form of wire-based DED process, is also gaining interest from both academic as well as industrial point of view. WAAM is an automized welding process where parts are manufactured thanks to a welding gun moved by a manipulator according to 3D paths [14]. The main advantages of WAAM are flexibility, low capital investment, and low material cost [15]. Similarly, extruders for polymeric materials are used in RBAM. Furthermore, RBAM can be integrated with traditional milling solutions to improve the quality of the finished product [11].
导语:在过去的几十年里，增材制造(AM)通过机器人机械手[12]来实现，以增加工艺的灵活性。此外，研究人员还使用了具有一定自由度的工作台[6]来达到同样的目的。直接能量沉积(Direct Energy Deposition, DED)[9]是机器人AM (Robot-Based AM, RBAM)的解决方案之一。材料从喷嘴沉积到支架上[1]。原料可以是线状或粉状。最近，线材和电弧增材制造(WAAM)，一种基于线材的DED工艺，也从学术和工业的角度引起了人们的兴趣。WAAM是一种自动化焊接工艺，由机械手按照三维路径移动焊枪来制造零件[14]。WAAM的主要优点是灵活性强、资金投入少、材料成本低[15]。类似地，在RBAM中使用聚合物材料的挤出机。此外，RBAM可以与传统铣削解决方案集成，以提高成品质量[11]。
{"title":"An Approach for Volume Decomposition in Robot-Based Additive Manufacturing","authors":"Jacopo Lettori, Roberto Raffaeli, Milton Borsato, M. Pellicciari, M. Peruzzini","doi":"10.14733/cadconfp.2022.313-317","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.313-317","url":null,"abstract":"Introduction: Additive Manufacturing (AM) are implemented with robotic manipulators [12] to increase process flexibility in the last decades. Also, researchers have used work tables with certain degrees of freedom [6] for the same aim. Direct Energy Deposition (DED) [9] is one of the solutions for Robot-Based AM (RBAM). The material is deposited from a nozzle onto support [1]. The raw material can be in wire or powder form. Recently, Wire and Arc Additive Manufacturing (WAAM), a form of wire-based DED process, is also gaining interest from both academic as well as industrial point of view. WAAM is an automized welding process where parts are manufactured thanks to a welding gun moved by a manipulator according to 3D paths [14]. The main advantages of WAAM are flexibility, low capital investment, and low material cost [15]. Similarly, extruders for polymeric materials are used in RBAM. Furthermore, RBAM can be integrated with traditional milling solutions to improve the quality of the finished product [11].","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"53 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132604895","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 : 2022-06-08DOI: 10.14733/cadconfp.2022.308-312
Lorenzo Guariento, F. Buonamici, A. Marzola, M. Scorianz, Y. Volpe
Introduction: Additive Manufacturing (AM) has emerged as a central factor in the transformation of the healthcare industry, as it has allowed the improvement of patient care in several clinical areas. In orthopedics, surgeons have reduced the invasiveness of surgical interventions, which can now be performed relying on customized tools specifically manufactured for the patient, and have improved the surgical outcome [1]. Patients’ safety and satisfaction have consequently seen an increase in the last years [2]. More importantly, because AM allows for the rebuilding of severely damaged bones and the restoration of joint kinematics that would otherwise be untreatable, it is directly helping to the advancement of the medical field. In this scenario, the diffusion of custom orthopedic prostheses is hindered by the effort required to design such specific devices, whose shape and features are influenced by the patient's anatomy and anamnesis. Indeed, the design phase of such devices is cumbersome and time-consuming, as it involves different human skills (medical and engineering) and resources (medical imaging and 3D modeling software systems). This ultimately leads to a timeconsuming process that implies significant costs. The goal of the present work is to optimize and automate the design phase and 3D modeling of custom orthopedic implants, with the aim of making such devices more and more accessible, safer and with better performances compared to the state of the art. Specifically, regarding the automation of orthopedic implant design, an algorithm has been developed within nTopology [3] that is able to generate the 3D model of pelvic prosthesis in 2±0.15 minutes starting from simple CAD inputs. The goal is to develop a simple and effective tool within the reach of non-expert CAD users, reduce design time and the related costs.
{"title":"Design Automation of Lattice-based Customized Orthopedic for Load-bearing Implants","authors":"Lorenzo Guariento, F. Buonamici, A. Marzola, M. Scorianz, Y. Volpe","doi":"10.14733/cadconfp.2022.308-312","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.308-312","url":null,"abstract":"Introduction: Additive Manufacturing (AM) has emerged as a central factor in the transformation of the healthcare industry, as it has allowed the improvement of patient care in several clinical areas. In orthopedics, surgeons have reduced the invasiveness of surgical interventions, which can now be performed relying on customized tools specifically manufactured for the patient, and have improved the surgical outcome [1]. Patients’ safety and satisfaction have consequently seen an increase in the last years [2]. More importantly, because AM allows for the rebuilding of severely damaged bones and the restoration of joint kinematics that would otherwise be untreatable, it is directly helping to the advancement of the medical field. In this scenario, the diffusion of custom orthopedic prostheses is hindered by the effort required to design such specific devices, whose shape and features are influenced by the patient's anatomy and anamnesis. Indeed, the design phase of such devices is cumbersome and time-consuming, as it involves different human skills (medical and engineering) and resources (medical imaging and 3D modeling software systems). This ultimately leads to a timeconsuming process that implies significant costs. The goal of the present work is to optimize and automate the design phase and 3D modeling of custom orthopedic implants, with the aim of making such devices more and more accessible, safer and with better performances compared to the state of the art. Specifically, regarding the automation of orthopedic implant design, an algorithm has been developed within nTopology [3] that is able to generate the 3D model of pelvic prosthesis in 2±0.15 minutes starting from simple CAD inputs. The goal is to develop a simple and effective tool within the reach of non-expert CAD users, reduce design time and the related costs.","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115293464","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 : 2022-06-08DOI: 10.14733/cadconfp.2022.277-281
Masakazu Kobayashi, Y. Ogawa
{"title":"Efficient Sizing Optimization using ANN Instead of FEM","authors":"Masakazu Kobayashi, Y. Ogawa","doi":"10.14733/cadconfp.2022.277-281","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.277-281","url":null,"abstract":"","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123502106","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 : 2022-06-08DOI: 10.14733/cadconfp.2022.392-397
Yuan Liu, Hui Yang
Introduction: With the rapid advancement of the multi-material additive manufacturing (MMAM) technology, the heterogeneous lattice structures (HLSs) comprising the multiphase materials with gradual variations have become feasible and accessible to the industry[1, 2]. Varying material distribution in an object may also help designers address a broader spectrum of design challenges [3, 4]. HLSs often prevail over their traditional homogeneous counterparts in certain performances such as mechanical, thermal, electrical, or any combination of them. Traditional limitations, such as stress concentrations or nonuniform thermal expansion due to material incompatibility, can be avoided with a continuous gradual composition of multiple materials[5, 6].
{"title":"A Modeling Method for Heterogeneous Lattice Structures based on Convolution Surface","authors":"Yuan Liu, Hui Yang","doi":"10.14733/cadconfp.2022.392-397","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.392-397","url":null,"abstract":"Introduction: With the rapid advancement of the multi-material additive manufacturing (MMAM) technology, the heterogeneous lattice structures (HLSs) comprising the multiphase materials with gradual variations have become feasible and accessible to the industry[1, 2]. Varying material distribution in an object may also help designers address a broader spectrum of design challenges [3, 4]. HLSs often prevail over their traditional homogeneous counterparts in certain performances such as mechanical, thermal, electrical, or any combination of them. Traditional limitations, such as stress concentrations or nonuniform thermal expansion due to material incompatibility, can be avoided with a continuous gradual composition of multiple materials[5, 6].","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131679789","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 : 2022-06-08DOI: 10.14733/cadconfp.2022.282-286
Ming Yan, L. Rampino, C. Giandomenico
Autonomous driving technology has been significantly developed in the last years. However, several issues must be addressed to make it universally accepted. Through a literature review, this paper summarizes the existing research on the role of human-machine interfaces (HMIs)on users’ acceptance in autonomous vehicles from the perspective of interaction design. First, the paper reviews the fundamental changes in the way users interact with autonomous vehicles focusing on: (i) the transfer of vehicle control between human drivers and artificial intelligence; (ii) the user experience of non-drivingrelated tasks (NDRTs); (iii) autonomous driving in public transportation; (iv) the impact of external HMI on vulnerable road users (VRUs). Then, the paper analyzes the concept of acceptability and describes the existing user acceptance model. Finally, the paper examines the future challenges for promoting a deeper exploration of the potential of autonomous vehicle interfaces design and proposes areas worthy of research to increase the user's acceptance of this technology.
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