Design for Additive Manufacturing Using a Master Model Approach

2019 ◽  
Author(s):  
Anton Wiberg ◽  
Johan Persson ◽  
Johan Ölvander
Keyword(s):  
Additive Manufacturing ◽  
Design Process ◽  
Optimized Design ◽  
Complex Products ◽  
Knowledge Based ◽  
Parametric Cad ◽  
Master Model ◽  
The Creation ◽  
Model Approach

Abstract The introduction of Additive Manufacturing opens up possibilities for creating lighter, better and customized products. However, to take advantage of the possibilities of Additive Manufacturing, the design engineer is challenged. In this paper, a general design process for the creation of complex products is proposed and evaluated. The proposed method aims to aid a design process in which Topology Optimization (TO) is used for concept development, and the result is then interpreted into a Master Model (MM) supporting design evaluations during detailed design. At the same time as the MM is created, information regarding manufacturing is saved in a database. This makes it possible to automatically generate and export models for manufacturing or CAE analyses. A tool that uses Knowledge-Based Engineering (KBE) to realize the presented methodology has been developed. The tool is specialized for the creation of structural components that connect to other components in an assembly. A case study, part of an aircraft door, has been used for evaluation of the tool. The study shows that the repetitive work when interpreting the topology-optimized design could be reduced. The result comes in the form of a parametric CAD model which allows fast changes and the coupled database enables the export of models for various purposes.

Cyberphysical Design Automation Framework for Knowledge-based Engineering

2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik
Keyword(s):  
System Design ◽  
Design Process ◽  
Design Automation ◽  
Design Theory ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Cyberphysical System ◽  
Automation Framework

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.

scholarly journals A Knowledge-based Master-model Approach with Application to Rotating Machinery Design

2011 ◽  
Vol 19 (4) ◽  
pp. 295-305 ◽  
Author(s):  
M. Sandberg ◽  
I. Tyapin ◽  
M. Kokkolaras ◽  
O. Isakasson ◽  
J.-O. Aidanpää ◽  
...  
Keyword(s):  
Rotating Machinery ◽  
Knowledge Based ◽  
Master Model ◽  
Machinery Design ◽  
Model Approach

Knowledge-Based Design of Artificial Neural Network Topology for Additive Manufacturing Process Modeling: A New Approach and Case Study for Fused Deposition Modeling

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Hari P. N. Nagarajan ◽  
Hossein Mokhtarian ◽  
Hesam Jafarian ◽  
Saoussen Dimassi ◽  
Shahriar Bakrani-Balani ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Additive Manufacturing ◽  
Fused Deposition Modeling ◽  
Expert Knowledge ◽  
Fused Deposition ◽  
Knowledge Based ◽  
Deposition Modeling ◽  
Artificial Neural

Additive manufacturing (AM) continues to rise in popularity due to its various advantages over traditional manufacturing processes. AM interests industry, but achieving repeatable production quality remains problematic for many AM technologies. Thus, modeling different process variables in AM using machine learning can be highly beneficial in creating useful knowledge of the process. Such developed artificial neural network (ANN) models would aid designers and manufacturers to make informed decisions about their products and processes. However, it is challenging to define an appropriate ANN topology that captures the AM system behavior. Toward that goal, an approach combining dimensional analysis conceptual modeling (DACM) and classical ANNs is proposed to create a new type of knowledge-based ANN (KB-ANN). This approach integrates existing literature and expert knowledge of the AM process to define a topology for the KB-ANN model. The proposed KB-ANN is a hybrid learning network that encompasses topological zones derived from knowledge of the process and other zones where missing knowledge is modeled using classical ANNs. The usefulness of the method is demonstrated using a case study to model wall thickness, part height, and total part mass in a fused deposition modeling (FDM) process. The KB-ANN-based model for FDM has the same performance with better generalization capabilities using fewer weights trained, when compared to a classical ANN.

scholarly journals People as an essential tool for considering ethics in the product lifecycle

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Mersha AFTAB ◽  
Alana JAMES
Keyword(s):  
Design Process ◽  
Consumer Goods ◽  
Participatory Approach ◽  
Human Values ◽  
Added Value ◽  
Case Study Approach ◽  
Product Lifecycle ◽  
Study Approach ◽  
The Creation

This paper explores the vital engagement of people at different stages of the product lifecycle. The incorporation of human values in the creation of empathy allows for ethics to be considered across the design and make process. A case study approach was adopted utilising data obtained from two large consumer goods companies. From this, a relationship was found to lie between the involvement of people as active participants and the creation of empathy. These empathetic values consequently facilitated the consideration of a responsible approach to be implemented. Conclusions show that during the design process people create added value with a participatory approach, whilst during production consumers become prosumers in consumer-led innovation to help drive forward an ethical agenda.

scholarly journals Axiomatic Design to Foster Additive Manufacturing-Specific Design Knowledge

2019 ◽  
Author(s):  
Sergei Chekurov ◽  
Kretzschmar Niklas ◽  
Marco Rossoni ◽  
Davide F. Redaelli ◽  
Giorgio Colombo
Keyword(s):  
Additive Manufacturing ◽  
Design Process ◽  
Axiomatic Design ◽  
Maximum Size ◽  
Independence Axiom ◽  
Performance Pressure ◽  
Information Axiom ◽  
Actual Design ◽  
Design Freedom

Abstract Axiomatic design has the potential to help designers understand the increased design freedom and limitations of additive manufacturing prior to starting the actual design process. The purpose of this study is to verify the usefulness of Axiomatic Design in the design process of complex additively manufactured components. The article uses a case study involving the design of a non-assembly turbine to demonstrate that Axiomatic Design can be applied as a supportive tool to acquire information on new limitations imposed by additive manufacturing, such as minimum wall thickness and maximum size of parts. The use of axiomatic design is demonstrated by describing the process of decomposition of the non-assembly turbine and examining the suitability of the general design according to the independence axiom. The resulting decomposition chart is subsequently used as a basis by the authors to design individually two competing designs of a turbine. Finally, the information axiom is used to determine the design with the lowest information content according to design (part and support volume), performance (pressure drop) and economic parameters (cost).

Design Innovation With Additive Manufacturing: A Methodology

2019 ◽  
Author(s):  
K. Blake Perez ◽  
Carlye A. Lauff ◽  
Bradley A. Camburn ◽  
Kristin L. Wood
Keyword(s):  
Additive Manufacturing ◽  
Design Process ◽  
Business Models ◽  
Engineering Product ◽  
Process Framework ◽  
New Business ◽  
Design Innovation ◽  
End Use ◽  
New Business Models

Abstract Additive manufacturing (AM) has matured rapidly in the past decade and has made significant progress towards a reliable and repeatable manufacturing process. The technology opens the doors for new types of innovation in engineering product development. However, there exists a need for a design process framework to efficiently and effectively explore these newly enabled design spaces. Significant work has been done to understand how to make existing products and components additively manufacturable, yet there still exists an opportunity to understand how AM can be leveraged from the very outset of the design process. Beyond end use products, AM-enabled opportunities include an enhanced design process using AM, new business models enabled by AM, and the production of new AM technologies. In this work, we propose the use, adaptation and evolution of the SUTD-MIT International Design Centre’s Design Innovation (DI) framework to assist organizations effectively explore all of these AM opportunities in an efficient and guided manner. We build on prior work that extracted and formalized design principles for AM. This paper discusses the creation and adaptation of the Design Innovation with Additive Manufacturing (DIwAM) methodology, through the combination of these principles and methods under the DI framework to better identify and realize new innovations enabled by AM. The paper concludes with a representative case study with industry that employs the DIwAM framework and the outcomes of that project. Future studies will analyze the effects that DIwAM has on designers, projects, and solutions.

scholarly journals Implementation of land and water controlling: case study in Sriharjo Village, Bantul District, Yogyakarta

2021 ◽  
Vol 922 (1) ◽  
pp. 012030
Author(s):  
D S Jayanti ◽  
S S Arif ◽  
S Susanto ◽  
L Sutiarso
Keyword(s):  
Knowledge Management ◽  
Human Resources ◽  
Explicit Knowledge ◽  
Land Resources ◽  
Knowledge Based ◽  
Seci Model ◽  
Internet Media ◽  
And Training ◽  
Model Approach

Abstract The concept of knowledge management is required to implicate the management of human resources, natural resources, and information technology to raise the consciousness of agricultural performers of the importance of knowledge-based concepts and strategies. The problem is how to increase knowledge of human resources sustainably to improve performance and competitiveness and create a decision-making process as the first step to implement agricultural management in a more focused and measurable. Knowledge management in Sriharjo Village has begun to be developed but has not been implemented and managed optimally as a knowledge asset. This research used a qualitative approach to identify knowledge gaps and a SECI model approach to determine the implementation and knowledge management strategy. This research aims to implement a knowledge management system strategy based on water and land resources in Sriharjo Village. A Collecting data with questionnaires and interviews with respondents and taking samples of respondents in the purposive sampling method. Knowledge will disappear if only stored in a tacit form, but sharing knowledge and implementing knowledge management through the transformation of tacit knowledge into explicit knowledge can increase understanding, a consciousness of managers and users, and minimize gaps. The application of KM is necessary to share knowledge with each member of the organization, such as organize meetings, discussions, socialization, using internet media, counseling, and training to improve the performance and sustainability of the organization.

Knowledge Based Engineering Optimization and Interoperability: An Automotive Case-Study

2012 ◽  
Vol 232 ◽  
pp. 823-827
Author(s):  
Frederic Danesi ◽  
Nicolas Gardan ◽  
Elvis Kwassi
Keyword(s):  
Design Process ◽  
Manufacturing Process ◽  
Engineering Optimization ◽  
Design Studies ◽  
Knowledge Based ◽  
Actual Design ◽  
Knowledge Based Engineering ◽  
Industrial Needs ◽  
Formal Design

This article focuses on the optimization of a design process, in the context of automotive subcontracting opportunity. This optimization is guided by the underlying manufacturing process and by the industrial knowledge. We first show that the actual design studies are biased by the final goal (a formal design) and do not take into account early industrial needs (a draft design to draw up an estimate). We then demonstrate how an automaker subcontractor optimizes the early design process thanks to industrial knowledge.

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