Examining the effect of design for additive manufacturing rule presentation on part redesign quality

被引:23
|
作者
Fillingim, Kenton Blane [1 ]
Nwaeri, Richard O. [1 ]
Paredis, Christiaan J. J. [2 ]
Rosen, David [1 ]
Fu, Katherine [1 ]
机构
[1] Georgia Inst Technol, Mech Engn, Atlanta, GA 30332 USA
[2] Clemson Univ, Automot Engn, Greenville, SC USA
基金
美国国家科学基金会;
关键词
Heuristics; design; additive manufacturing; quality; novelty; redesign; modality; experts; novices; IDEA GENERATION; OPTIMIZATION; HEURISTICS; TOPOLOGY;
D O I
10.1080/09544828.2020.1789569
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The main goal of this research is to understand how design for additive manufacturing (DfAM) rule presentation affects a designer's ability to utilise those rules. To that end a pair of studies were carried out. The first study was conducted with industry engineers and designers, while the second study was conducted with students at a university. For both studies, four DfAM design rules for fused deposition modelling (FDM) were chosen, relating to overhangs, planar surfaces, accessible support structures, and part size. Each rule was presented in four different modalities: text only, text with illustration, text with industry example, and text with 3D printed example. Each rule presentation included a justification, and all but the text-only presentation included a 'desirable' and 'undesirable' design example for the rule. Four part redesign problems were given, and the resulting redesigns were then rated on both novelty and quality. Results indicate that although there are no differences in quality and novelty scores between modalities, the text only rules were perceived to be the most difficult to understand. Furthermore, a comparison between the professionals and the students showed that the professionals created higher novelty redesigns. These results have several implications in the field of DfAM education.
引用
收藏
页码:427 / 460
页数:34
相关论文
共 50 条
  • [21] Integration of Topology Optimisation and Design Variants Selection for Additive Manufacturing-Based Systematic Product Redesign
    Dalpadulo, Enrico
    Gherardini, Francesco
    Pini, Fabio
    Leali, Francesco
    APPLIED SCIENCES-BASEL, 2020, 10 (21): : 1 - 13
  • [22] Geometric approaches to input file modification for part quality improvement in additive manufacturing
    Zha, Wentao
    Anand, Sam
    JOURNAL OF MANUFACTURING PROCESSES, 2015, 20 : 465 - 477
  • [23] PART MONITORING AND QUALITY ASSESSMENT OF CONFORMAL ADDITIVE MANUFACTURING USING IMAGE RECONSTRUCTION
    Kutzer, Michael D.
    DeVries, Levi D.
    Blas, Cooper D.
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2018, VOL 5B, 2018,
  • [24] Blockchain-based quality management for a digital additive manufacturing part record
    Westphal, Erik
    Leiding, Benjamin
    Seitz, Hermann
    JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2023, 35
  • [25] COMPUTER AIDED VISUALIZATION TOOL FOR PART QUALITY ANALYSIS OF ADDITIVE MANUFACTURING PROCESS
    Taufik, Mohammad
    Jain, Prashant K.
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2016, VOL 2A, 2016,
  • [26] Geometric approaches to input file modification for part quality improvement in additive manufacturing
    Zha, Wentao
    Anand, Sam
    Journal of Manufacturing Processes, 2015, 20 : 465 - 477
  • [27] Aircraft part substitution via additive manufacturing: design, simulation, fabrication and testing
    Boschetto, Alberto
    Bottini, Luana
    Cardini, Valerio
    Eugeni, Marco
    Gaudenzi, Paolo
    Veniali, Francesco
    RAPID PROTOTYPING JOURNAL, 2021, 27 (05) : 995 - 1009
  • [28] Part segregation based on particle swarm optimisation for assembly design in additive manufacturing
    Maiyar, Lohithaksha M.
    Singh, Sube
    Prabhu, Vittal
    Tiwari, Manoj Kumar
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2019, 32 (07) : 705 - 722
  • [29] A Part Consolidation Design Method for Additive Manufacturing based on Product Disassembly Complexity
    Kim, Samyeon
    Moon, Seung Ki
    APPLIED SCIENCES-BASEL, 2020, 10 (03):
  • [30] Part decomposition and assembly-based (Re) design for additive manufacturing: A review
    Oh, Yosep
    Zhou, Chi
    Behdad, Sara
    ADDITIVE MANUFACTURING, 2018, 22 : 230 - 242