scholarly journals Exploring an AM-Enabled Combination-of-Functions Approach for Modular Product Design

Designs ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 37 ◽  
Author(s):  
Charul Chadha ◽  
Kathryn Crowe ◽  
Christina Carmen ◽  
Albert Patterson
Keyword(s):  
Product Design ◽  
State Of The Art ◽  
Free Form ◽  
Life Cycle Costs ◽  
Modular Product ◽  
Current State ◽  
Modular Products ◽  
Design And Manufacturing ◽  
Complex Parts

This work explores an additive-manufacturing-enabled combination-of-function approach for design of modular products. AM technologies allow the design and manufacturing of nearly free-form geometry, which can be used to create more complex, multi-function or multi-feature parts. The approach presented here replaces sub-assemblies within a modular product or system with more complex consolidated parts that are designed and manufactured using AM technologies. This approach can increase the reliability of systems and products by reducing the number of interfaces, as well as allowing the optimization of the more complex parts during the design. The smaller part count and the ability of users to replace or upgrade the system or product parts on-demand should reduce user risk, life-cycle costs, and prevent obsolescence for the user of many systems. This study presents a detailed review on the current state-of-the-art in modular product design in order to demonstrate the place, need and usefulness of this AM-enabled method for systems and products that could benefit from it. A detailed case study is developed and presented to illustrate the concepts.

scholarly journals Exploring an AM-Enabled Combination-of-Functions Approach for Modular Product Design

2018 ◽  
Author(s):  
Charul Chadha ◽  
Kathryn Crowe ◽  
Christina Carmen ◽  
Albert Patterson
Keyword(s):  
Product Design ◽  
State Of The Art ◽  
Free Form ◽  
Life Cycle Costs ◽  
Modular Product ◽  
Current State ◽  
Modular Products ◽  
Design And Manufacturing ◽  
Complex Parts

This work explores an additive-manufacturing-enabled combination-of-function approach for design of modular products. AM technologies allow the design and manufacturing of nearly free-form geometry, which can be used to create more complex, multi-function or multi-feature parts. The approach presented here replaces sub-assemblies within a modular product or system with more complex single parts that are designed and manufactured using AM technologies. This approach can increase the reliability of systems and products by reducing the number of interfaces, as well as allowing the optimization of the more complex parts during the design. The smaller part count and the ability of users to replace or upgrade the system or product parts on-demand should reduce user risk, life-cycle costs, and prevent obsolescence for the user of many systems. This study presents a detailed review on the current state-of-the-art in modular product design in order to demonstrate the place, need and usefulness of this AM-enabled method for systems and products that could benefit from it. A detailed case study is developed and presented to demonstrate the concepts.

Ressourceneffizienz durch Digitalisierung*/Resource efficiency through digitisation. Potentials for SMEs in the manufacturing industry

2018 ◽  
Vol 108 (05) ◽  
pp. 319-324
Author(s):  
I. Bogdanov ◽  
A. Nuffer ◽  
A. Sauer
Keyword(s):  
Manufacturing Industry ◽  
State Of The Art ◽  
Manufacturing Sector ◽  
Resource Efficiency ◽  
Digitale Transformation ◽  
Case Study Analysis ◽  
Current State ◽  
Stand Der Technik ◽  
A Current

Der vorliegende Beitrag behandelt den Themenkomplex Ressourcen-effizienz und digitale Transformation im verarbeitenden Gewerbe sowie die dabei entstehenden Wechselwirkungen. Neben dem aktuellen Stand der Technik werden die im Rahmen einer aktuellen Studie durchgeführte Fallbeispielanalyse und die entwickelte Methodik zur Ermittlung der Ressourceneffizienzpotenziale vorgestellt. Diese Potenziale und die eingesetzten digitalen Maßnahmen sind zentrale Bausteine des vorliegenden Beitrags.   This article deals with the topic complex of resource efficiency and digital transformation in the manufacturing sector as well as the resulting interactions. In addition to the current state of the art and perspectives, the case study analysis carried out as part of a current study, as well as the developed method for establishing the resource efficiency potentials will be presented. The resultant potential and the digital measures are central components of this article.

HOME: House Of Modular Enhancement—a Tool for Modular Product Redesign

2002 ◽  
Vol 10 (2) ◽  
pp. 153-164 ◽  
Author(s):  
J. C. Sand ◽  
P. Gu ◽  
G. Watson
Keyword(s):  
Lead Time ◽  
Modular Design ◽  
Design Method ◽  
Product Architecture ◽  
Functional Requirements ◽  
Overall Design ◽  
System A ◽  
Modular Product ◽  
Design And Manufacturing

Product modularization aims to improve the overall design, manufacturing, operational, and post-retirement characteristics of products by designing or redesigning the product architectures. A successful modular product can assist the reconfiguration of products, while reducing the lead-time of design and manufacturing and improving the ability for upgrading, maintenance, customization and recycling. This paper presents a new modular design method called the House Of Modular Enhancement (HOME) for product redesign. Information from various aspects of the product design, including functional requirements, product architecture and life cycle requirements, is incorporated in the method to help ensure that a modularized product would achieve the objectives. The HOME method has been implemented in a software system. A case study will be presented to illustrate the HOME method and the software.

Modular product design for additive manufacturing of satellite components: maximising product value using genetic algorithms

2019 ◽  
Vol 27 (4) ◽  
pp. 331-346 ◽  
Author(s):  
Olivia Borgue ◽  
Massimo Panarotto ◽  
Ola Isaksson
Keyword(s):  
Additive Manufacturing ◽  
Product Design ◽  
Design Concepts ◽  
Modular Product ◽  
Trade Offs ◽  
Function Modelling ◽  
Part Consolidation ◽  
Component Interface ◽  
Optimisation Algorithms

For space manufacturers, additive manufacturing promises to dramatically reduce weight and costs by means of integral designs achieved through part consolidation. However, integrated designs hinder the ability to change and service components over time – actually increasing costs – which is instead enabled by highly modular designs. Finding the optimal trade-off between integral and modular designs in additive manufacturing is of critical importance. In this article, a product modularisation methodology is proposed for supporting such trade-offs. The methodology is based on combining function modelling with optimisation algorithms. It evaluates product design concepts with respect to product adaptability, component interface costs, manufacturing costs and cost of post-processing activities. The developed product modularisation methodology is derived from data collected through a series of workshops with industrial practitioners from three different manufacturer companies of space products. The implementation of the methodology is demonstrated in a case study featuring the redesign of a satellite antenna.

scholarly journals A RESTful middleware for AI controlled sensors, actuators and smart devices

2019 ◽  
Vol 11 (7) ◽  
pp. 2963-2986 ◽  
Author(s):  
Nikos Dipsis ◽  
Kostas Stathis
Keyword(s):  
Smart Home ◽  
Learning Algorithm ◽  
State Of The Art ◽  
Smart Devices ◽  
Machine Learning Algorithm ◽  
Concrete Case ◽  
Domain Specific ◽  
Sensor Actuator ◽  
Current State

Abstract The numerous applications of internet of things (IoT) and sensor networks combined with specialized devices used in each has led to a proliferation of domain specific middleware, which in turn creates interoperability issues between the corresponding architectures and the technologies used. But what if we wanted to use a machine learning algorithm to an IoT application so that it adapts intelligently to changes of the environment, or enable a software agent to enrich with artificial intelligence (AI) a smart home consisting of multiple and possibly incompatible technologies? In this work we answer these questions by studying a framework that explores how to simplify the incorporation of AI capabilities to existing sensor-actuator networks or IoT infrastructures making the services offered in such settings smarter. Towards this goal we present eVATAR+, a middleware that implements the interactions within the context of such integrations systematically and transparently from the developers’ perspective. It also provides a simple and easy to use interface for developers to use. eVATAR+ uses JAVA server technologies enhanced by mediator functionality providing interoperability, maintainability and heterogeneity support. We exemplify eVATAR+ with a concrete case study and we evaluate the relative merits of our approach by comparing our work with the current state of the art.

Opportunities and Challenges in Mesoforming

2003 ◽  
Author(s):  
Jian Cao ◽  
Zhong Wang ◽  
Neil Krishnan ◽  
Anthony Michael Swanson
Keyword(s):  
Energy Consumption ◽  
Environmental Monitoring ◽  
Product Design ◽  
Automotive Industry ◽  
State Of The Art ◽  
Preliminary Investigation ◽  
Industrial Processing ◽  
Current State ◽  
Processing Energy

In the last ten years, miniaturization technologies have revolutionized product design and have lead to many innovative applications in the automotive industry, healthcare, environmental monitoring, industrial processing, energy consumption, defense, etc. Here, the current state-of-the-art in mesoforming (forming of metals in the scale of 0.1 mm to several millimeters) is reviewed, followed by our preliminary investigation of one mesoforming example.

A Product Design Approach to Prosthetic Design: A Case Study

2019 ◽  
Author(s):  
Susan L. Sokolowski ◽  
Zach Meyer
Keyword(s):  
Product Design ◽  
Financial Support ◽  
State Of The Art ◽  
Military Veterans ◽  
Prosthetic Design ◽  
Body Scanning ◽  
Capstone Project ◽  
Second Punic War ◽  
Robotic Devices

Evidence of prosthetic use can be dated back to the second Punic War [1]. However, state-of-the-art devices have advanced very little, especially for individuals who need forearm and hand functionality, and have little financial support for high-end, custom robotic devices. This is particularly the case for military veterans. The prosthetics prescribed are thermally hot, heavy in weight, fit poorly, restrict mobility and are unattractive. This paper will review how the aforementioned design challenge was addressed through 3D body scanning and rapid prototyping technologies, for an undergraduate product design student’s capstone project.

A Modular Product Design Method to Improve Product Social Sustainability Performance

2015 ◽  
Author(s):  
Junfeng Ma ◽  
Gül E. Okudan Kremer
Keyword(s):  
Product Design ◽  
Clustering Algorithm ◽  
Focal Point ◽  
Design Method ◽  
Social Sustainability ◽  
Social Responsibilities ◽  
Labor Time ◽  
Modular Product ◽  
Potential Synergy

Sustainability has been the emphasis of intense discussion over recent decades, but mostly focused on addressing critical aspects of environmental issues. An increasing awareness of social responsibilities and ever-shifting customer requirements have led manufacturers to consider social sustainability during the design phase in tandem with addressing environmental concerns; thus, design for social sustainability has evolved as a new product design direction. Modular product design (MPD), has been widely used in both academia and industry because of its significant benefits in design engineering. Because of the potential synergy, investigating design for social sustainability in association with MPD holds promise as a field of investigation. In this paper, we introduce a novel MPD approach that uses the elements of key component specification and product impact on social sustainability. The key components carry core technologies or have the highest sustainability effects in a product (i.e., the most costly or environmentally polluting parts). Product competitiveness strongly relies on a few key components that should be a focal point during product development. However, to the best of our knowledge, key components have not been well addressed in modular product design. In this paper, we employ labor time as an indicator to measure social sustainability. A heuristic-based clustering algorithm with labor time optimization is developed to categorize components into modules. A coffee-maker case study is conducted to demonstrate the applicability of the proposed methodology.

2108 A Modular Product Design Method Considering Defense from Leakage of Synthetic Functions : A Case Study on a Paper Handling Equipment

2009 ◽  
Vol 2009.19 (0) ◽  
pp. 259-261
Author(s):  
Akihiro Hirao ◽  
Tsuyoshi Koga ◽  
Takashi Niwa ◽  
Kazuya Oizumi ◽  
Kazuhiro Aoyama
Keyword(s):  
Product Design ◽  
Design Method ◽  
Modular Product

Case Study of the Puna Geothermal Power Plant and Proposed Retrofit H2S Gas Mitigation Strategies

2020 ◽  
Author(s):  
Kevin R. Anderson ◽  
Wael Yassine
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
State Of The Art ◽  
Mitigation Strategies ◽  
Geothermal Power Plant ◽  
Current State ◽  
Abatement Strategies ◽  
Simulation Results ◽  
Geothermal Power

Abstract This paper presents modeling of the Puna Geothermal Venture as a case study in understanding how the technology of geothermal can by successfully implemented. The paper presents a review of the Puna Geothermal Venture specifications, followed by simulation results carried out using NREL SAM and RETSCREEN analysis tools in order to quantify the pertinent metrics associated with the geothermal powerplant by retrofitting its current capacity of 30 MW to 60 MW. The paper closes with a review of current state-of-the art H2S abatement strategies for geothermal power plants, and presents an outline of how these technologies can be implemented at the Puna Geothermal Venture.

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