Digital Solutions for Integrated and Collaborative Additive Manufacturing

2016 ◽  
Author(s):  
Yan Lu ◽  
Paul Witherell ◽  
Felipe Lopez ◽  
Ibrahim Assouroko
Keyword(s):  
Additive Manufacturing ◽  
Analytical Framework ◽  
Knowledge Bases ◽  
Software Tools ◽  
Data Models ◽  
Development Environment ◽  
Manufacturing Operations ◽  
Support Tools ◽  
Product Design Process

Software tools, knowledge of materials and processes, and data provide three pillars on which Additive Manufacturing (AM) lifecycles and value chains can be supported. These pillars leverage efforts dedicated to the development of AM databases, high-fidelity models, and design and planning support tools. However, as of today, it remains a challenge to integrate distributed AM data and heterogeneous predictive models in software tools to drive a more collaborative AM development environment. In this paper, we describe the development of an analytical framework for integrated and collaborative AM development. Information correlating material, product design, process planning and manufacturing operations are captured and managed in the analytical framework. A layered structure is adopted to support the composability of data, models and knowledge bases. The key technologies to enable composability are discussed along with a suite of tools that assist designers in the management of data, models and knowledge components. A proof-of-concept case study demonstrates the potential of the AM analytical framework.

Understanding Professional Designers’ Knowledge Organization Behavior: A Case Study in Product Teardowns

2021 ◽  
Author(s):  
Ye Wang ◽  
Daniele Grandi ◽  
Dixun Cui ◽  
Vivek Rao ◽  
Kosa Goucher-Lambert
Keyword(s):  
Knowledge Bases ◽  
Knowledge Organization ◽  
Housing Cost ◽  
Team Collaboration ◽  
Organization Behavior ◽  
Related Data ◽  
Trade Offs ◽  
Support Tools ◽  
Insight Into

Abstract Knowledge organization is an essential component of engineering design, and a deeper understanding of how designers organize knowledge could enable more effective insights in support of the design process. To explore this, we examine 23 professional designers’ knowledge organization practices as they virtually engage with data collected during a teardown of a consumer product. Designers organized this data by forming groups of related data, nesting subgroups of data within groups, and creating directional links between groups of data and individual data. Our results indicate three insights about how designers organize and acquire knowledge from product teardowns. First, we observe that while designers find grouping data to be more effective for learning, linking proved more helpful for knowledge transfer. Second, we find that designers employ links between data much more frequently than they do nests, and that links primarily serve to identify trade-offs, requirements, and opportunities for team collaboration. Finally, a graph analysis indicates that design features, product housing, cost, and manufacturing coexist as separate but central groups in designers’ knowledge organization, reflecting the diversity of perspectives on knowledge organization emergent in a constrained teardown activity. These findings provide insight into professional designers’ knowledge organization practices, and represent a preliminary step toward design knowledge bases that more accurately reflect designer behavior, ultimately enabling more effective data-driven support tools for design.

Robust Design – A Case Study in a Research and Development Company

2014 ◽  
Vol 541-542 ◽  
pp. 1518-1522 ◽  
Author(s):  
Tan Owee Kowang ◽  
Choi Sang Long ◽  
Low Hock Heng ◽  
Amran Bin Mohd Rasli
Keyword(s):  
Research And Development ◽  
Robust Design ◽  
Single Case ◽  
Success Factor ◽  
Production Environment ◽  
Development Environment ◽  
Management Commitment ◽  
Top Management Commitment ◽  
Product Design Process

The paper aims to explore how organizations in the transition phase of co-location to multi-locations production environment applied Robust Design approach to accommodate the complexity of manufacturing and assembly operation in multi-location production environment. By using a single case study method on a home appliances Research and Development (R&D) Company, this paper examines the detail of design and operational transformations within the organization at pre and post implementation stage of Robust Design. The paper starts with enlightenment of issues faced by the company that drove the move to explore the application of Robust Design, follows by illustrations on how Robust Design concept is re-configured and executed across the product design process within the company. The paper subsequently reviews operational impact driven by the implementation of Robust Design, this is followed by discussion and recommendation for improvement. Result from the case study suggested that top management commitment is the key success factor for the implementation of Robust Design in Research and Development firm. In addition, the case study offers an alternative and effective approach to develop a robust system within design and development environment.

scholarly journals Benefits of Non-Planar Printing Strategies Towards Eco-Efficient 3D Printing

2021 ◽  
Vol 13 (4) ◽  
pp. 1599
Author(s):  
Adrián Martínez Cendrero ◽  
Gabriele Maria Fortunato ◽  
Juan Manuel Munoz-Guijosa ◽  
Carmelo De Maria ◽  
Andrés Díaz Lantada
Keyword(s):  
Additive Manufacturing ◽  
3D Printing ◽  
Environmental Impacts ◽  
Production Costs ◽  
Support Tools ◽  
Potential Benefits ◽  
Alternative Approaches ◽  
Printing Processes ◽  
Interesting Alternative

The present work focuses on studying and demonstrating the potential benefits of non-planar printing, as compared to conventional 3D printing, in terms of improved eco-impacts. To this end, a case study of a medical or ergonomic device, which may benefit from non-planar printing in different ways, is completely developed and manufactured employing alternative approaches, which are quantified, as regards production costs and environmental impacts. Three 3D printing processes are used: two of them relying on non-planar printing, one using conventional 2D printing trajectories. Relevant benefits are achieved thanks to the possibility, enabled by non-planar 3D printing, of manufacturing products upon reusable rapid tools. These support tools constitute an interesting alternative to the support meshes generally employed in additive manufacturing, which are normally a relevant source of waste and involve costly post-processes.

Integrating IoT platforms using the INTER-IoT approach: A case study of the CasAware project

2020 ◽  
Vol 12 (6) ◽  
pp. 457-474
Author(s):  
Gianfranco E. Modoni ◽  
Enrico G. Caldarola ◽  
Nicola Mincuzzi ◽  
Marco Sacco ◽  
Katarzyna Wasielewska ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Well Being ◽  
Software Tools ◽  
Data Models ◽  
Research Project ◽  
Iot Platforms

CasAware is an Ambient Assisted Living platform, developed within an Italian research project, with the aim to improve the level of comfort and well-being of inhabitants of a house, while optimizing the energy consumption. A key feature, for successful realization of such a platform, is its capability to interoperate with other IoT platforms, which can augment CasAware with additional services. Indeed, this capability facilitates smooth communication between CasAware devices and external devices connected to other IoT platforms, thus allowing efficient exchange of messages among them. However, such integration is hindered by the heterogeneity of data models used in different platforms, which is also related to lack of common standards. In order to realize integration needed for CasAware, this paper presents an approach which exploits results of the INTER-IoT project. Specifically, the INTER-IoT methodology and a set of software tools for achieving IoT interoperability are applied. In the presented study, it is shown how the INTER-IoT based approach can facilitate interoperability between CasAware and two other platforms, which use completely different data models.

Exploration of Various Methods for Cost Considerations in Additive Manufacturing

2017 ◽  
Author(s):  
Andrea Piazza ◽  
Kyle Bielanos ◽  
Beshoy Morkos
Keyword(s):  
Additive Manufacturing ◽  
Small Volume ◽  
Cost Optimization ◽  
Weather Conditions ◽  
Manufacturing Costs ◽  
Part Geometry ◽  
Manufacturing Operations ◽  
Protection Systems ◽  
The Cost

Technology advancements in additive manufacturing allow for useful design optimization, especially in the field of integration (single components with multiple functions). The design process of a component includes considerations of design aspects, such as part geometry with respect to anticipated load conditions, chemical affinity due to possible adverse interaction of non-similar metals, weather conditions not predicted by applied coatings or protection systems and manufacturing design constraints. Due to reduced manufacturing constraints, additive manufacturing brings advantages such as reduced assembly time, higher part performance, and much greater geometric freedom. The following study explores the advantages and quantifies the cost optimization factors, such as manufacturing and assembly costs and material considerations, when assemblies and/or single components are replaced with an additively manufactured part, in mass produced and small volume applications. A relative part replacement cost function will be produced to show the feasibility of changeover to an additive manufactured part, furthermore two case studies will be analyzed and a new case study will be conducted and compared. Additive manufacturing costs, due to the popularization of different techniques, are constantly dropping and, therefore, are becoming valuable options in small to medium scale manufacturing operations as a way to reduce assembly costs and increase design performance.

Topology Optimization Software for Additive Manufacturing: A Review of Current Capabilities and a Real-World Example

2016 ◽  
Author(s):  
Sai Nithin Reddy K. ◽  
Ian Ferguson ◽  
Mary Frecker ◽  
Timothy W. Simpson ◽  
Corey J. Dickman
Keyword(s):  
Topology Optimization ◽  
Additive Manufacturing ◽  
User Interfaces ◽  
Educational Software ◽  
Software Tools ◽  
Additive Manufacture ◽  
Optimization Software ◽  
Current State ◽  
Complex Organic

Topology optimization is finding renewed interest thanks to additive manufacturing — a technology that is well-suited to fabricate the complex organic shapes and structures that often arise from topology optimization. This paper reviews the current state of topology optimization software through the redesign of a real aerospace mounting plate, focusing on manufacturing considerations that are important for additive manufacturing (AM). Twenty different commercial and educational software tools are investigated and categorized based on their capabilities. Two representative software tools are then demonstrated with well-known examples to compare user interfaces and outputs, and one is chosen to perform the mounting plate case study. We find that all of the commercially available topology optimization software packages offer similar capabilities and considerably more functionality than educational software, but only a few niche products can be tailored to specific applications and manufacturing processes. Current commercial software does not provide adequate manufacturing constraints to remove the need for manual interpretation of results for additive manufacture. A case study involving optimization of an industry-relevant component for AM is used to provide in-depth understanding of both topology optimization and manufacturing considerations in AM. Shortcomings in the existing software tools are presented, and future requirements to take advantage of the increasing AM capabilities, particularly in metals, are discussed.

scholarly journals A Systematic Approach for Evaluating the Adoption of Additive Manufacturing in the Product Design Process

2021 ◽  
Vol 11 (3) ◽  
pp. 1210
Author(s):  
Roberto Raffaeli ◽  
Jacopo Lettori ◽  
Juliana Schmidt ◽  
Margherita Peruzzini ◽  
Marcello Pellicciari
Keyword(s):  
Additive Manufacturing ◽  
Systematic Approach ◽  
Complex Products ◽  
Everyday Work ◽  
Need To Evaluate ◽  
Product Design Process ◽  
To Come ◽  
Radical Solution ◽  
Algorithmic Procedure

Additive Manufacturing (AM) technologies have expanded the possibility of producing unconventional geometries, also increasing the freedom of design. However, in the designer’s everyday work, the decision regarding the adoption of AM for the production of a component is not straightforward. In fact, it is necessary to process much information regarding multiple fields to exploit the maximum potential of additive production. For example, there is a need to evaluate the properties of the printable materials, their compatibility with the specific application, redesign shapes accordingly to AM limits, and conceive unique and complex products. Additionally, procurement and logistics evaluations, as well as overall costs possibly extending to the entire life cycle, are necessary to come to a decision for a new and radical solution. In this context, this paper investigates the complex set of information involved in this process. Indeed, it proposes a framework to support and guide a designer by means of a structured and algorithmic procedure to evaluate the opportunity for the adoption of AM and come to an optimal design. A case study related to an ultralight aircraft part is reported to demonstrate the proposed decision process.

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.

Factors Influencing Customer’s Retail Chain Store Brand Choice Intention: Empirical Study of Circle K Stores in Hanoi

2020 ◽  
Vol 36 (4) ◽  
Author(s):  
Nguyen Thu Ha ◽  
Nguyen Thi Thanh Huyen
Keyword(s):  
Brand Choice ◽  
Distribution Networks ◽  
Analytical Framework ◽  
Store Brand ◽  
Chain Store ◽  
Retail Chain ◽  
Five Elements ◽  
Relationship Of ◽  
The Relationship

The retail market in Vietnam continues to grow with the entry of foreign retail brands and the strong rise of domestic businesses in expanding distribution networks and conquering consumer confidence. The appearance of more retail brands has created a fiercely competitive market. Based on the outcomes of previous research results on brand choice intention combined with a customer survey, the paper proposes an analytical framework and scales to examine the relationship of five elements including store image, price perception, risk perception, brand attitudes, brand awareness and retail brand choice intention with a case study of the Hanoi-based Circle K convenience store chain. These five elements are the precondition for retail businesses to develop their brands so as to attract customers.

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