Optimization in the Simulation Based Design Environment

2001 ◽  
Author(s):  
W. Aldo Kusmik
Keyword(s):  
Product Development ◽  
System Integration ◽  
Product Development Process ◽  
Naval Research ◽  
Design Environment ◽  
Software Environment ◽  
Complex Products ◽  
Office Of Naval Research ◽  
Simulation Based Design ◽  
Simulation Based

Abstract Simulation based design methodologies have the potential to streamline the development and continuous improvement of complex products by addressing three fundamental aspects of team-based product development initiatives: coordination, collaboration, and optimization. On-going research funded by the Office of Naval Research is seeking to augment its baseline simulation based design environment with enhanced system integration, visualization, and optimization capabilities that address these three aspects of the product development process. The inherent strengths of the existing software environment are being leveraged to support the development of these enhanced capabilities including Multi-Disciplinary Optimization methodologies that will enable the rapid convergence on high payoff system alternatives.

Coordination of Complex Product Development Processes

2010 ◽  
Author(s):  
Samuel Suss ◽  
Vincent Thomson
Keyword(s):  
Product Development ◽  
Product Development Process ◽  
Complex Products ◽  
Complex Processes ◽  
The Status ◽  
Development Processes ◽  
Correct Understanding ◽  
Vital Element ◽  
Insight Into ◽  
Product Development Processes

Product development processes of complex products are complex themselves and particularly difficult to plan and manage effectively. Although many organizations manage their product development processes by monitoring the status of documents that are created as deliverables, in fact the progress of the process is in large part based on the actual information flow which is required to develop the product and produce the documents. A vital element in making product development processes work well is the correct understanding of how information flows and how to facilitate its development. In this paper we describe an executable stochastic model of the product development process that incorporates the salient features of the interplay between the information development, exchange and progress of the technical work. Experiments with the model provide insight into the mechanisms that drive these complex processes.

A Machine Learning Framework for Decision Support in Design and Manufacturing

2021 ◽  
pp. 479-498
Author(s):  
Aditya Balu ◽  
Sambit Ghadai ◽  
Gavin Young ◽  
Soumik Sarkar ◽  
Adarsh Krishnamurthy
Keyword(s):  
Product Development ◽  
Computer Aided Design ◽  
Iterative Process ◽  
Development Process ◽  
Product Development Process ◽  
Design Environment ◽  
Learning Framework ◽  
Design And Manufacturing ◽  
Product Design Process ◽  
Aided Design

The widespread adoption of computer-aided design (CAD) and manufacturing (CAM) tools has resulted in the acceleration of the product development process, reducing the time taken to design a product [46]. However, the product development process, for the most part, is still decentralized with the design and manufacturing reviews being performed independently, leading to differences between as-designed and as-manufactured component. A successful product needs to meet its specifications, while also being manufacturable. In general, the design engineer ensures that the product is able to function according to the specified requirements, while the manufacturing engineer gives feedback to the design engineer about its manufacturability. This iterative process is often time consuming, leading to longer product development times and higher costs. Recent researches in integrating design and manufacturing [24, 28, 46] have tried to reduce these differences and making the product development process easier and accessible to designers, who may not be manufacturing experts. In addition, there have been different efforts to enable a collaborative product development process and reduce the number of design iterations [8, 10, 41]. However, with the increase in complexity of designs, integrating the manufacturability analysis within the design environment provides an ideal solution to improve the product design process.

Categorized Application Technology of Numerical Simulation on Electronic Equipment Thermal Design

2009 ◽  
Author(s):  
Yasuyuki Yokono ◽  
Katsumi Hisano ◽  
Kenji Hirohata
Keyword(s):  
Numerical Simulation ◽  
Product Development ◽  
Statistical Approach ◽  
Thermal Design ◽  
Electronic Equipment ◽  
Product Development Process ◽  
Design Stage ◽  
Application Technology ◽  
Simulation Techniques ◽  
Simulation Based

In order to utilize a numerical simulation on a product development for electronic equipment, not only the simulation techniques themselves, but the application technologies of the simulation in the product design, were examined. The design process of electronic equipment was categorized into four stages, which were a concept, a function, a layout and a parameter design. Each design stage consists of a specifying that a human decide the specification for the next stage and a verification whether the specification satisfy the previous stage requirements. The specifying and the verification are conducted over and over again. Numerical simulation is corresponded to the verification and is used to accelerate this iteration instead of experiments. The examples of numerical simulation corresponding to these four verifications were shown in the present paper. There are few examples in last two type of simulation. The progress of the numerical technology for function and concept verification is expected. The product development process requires not only numerical simulation based on physics but also statistical approach.

scholarly journals Integration of Application Code Simulations for Data exchange

2021 ◽  
Vol 23 (07) ◽  
pp. 659-666
Author(s):  
Basankar Vikas ◽  
◽  
Dr. S. P. Metkar ◽  
Manoj Mane ◽  
Bhuvaneshwar Kanade ◽  
...  
Keyword(s):  
Product Development ◽  
Product Quality ◽  
Data Exchange ◽  
Development Process ◽  
Suitable Method ◽  
Product Development Process ◽  
Integration Approach ◽  
Simulation Based ◽  
Industry Automation

In every product development industry, automation plays a key role in increasing the throughput of the company and providing better planning in product development and improved product quality. It is very necessary to find a solution to interdependencies during the product development process. During simulation-based analysis of a product, it is required that the need for actual hardware of the product is to be eliminated. Because of this, the functionality of the actual hardware can be analyzed by using software using simulations. If simulations of different products are running, the data is to be exchanged between different simulations effectively. It can be considered as simulating data exchange, as it is implemented in the hardware form. A proper and suitable method is to be used to have this goal achieved. This paper will address the integration approach for application code simulations or programs that are built to perform specific tasks.

Surface Combatants of the Future - Reduced Crew Warships

1998 ◽  
Vol 42 (18) ◽  
pp. 1304-1308 ◽  
Author(s):  
J. Robert Bost ◽  
Jennifer A.B. McKneely ◽  
Trish Hamburger
Keyword(s):  
Life Cycle Cost ◽  
Human Performance ◽  
Naval Research ◽  
Development Effort ◽  
Design Environment ◽  
Human Centered Design ◽  
Human Element ◽  
Office Of Naval Research ◽  
Integrated Research ◽  
Significant Life

Accounting for the human element in complex systems is difficult. Unfortunately this has often meant that the human element is not accounted for, resulting in systems performing below expectations. Future Navy ships and systems are anticipated to be even more complex exasperating this problem. The design problem is made more challenging with the DoD requirement for significant life cycle cost reductions through a reduced crew ship. Optimizing the make up of this reduced crew requires the development of new design processes and tools. This paper addresses DD 21 and Office of Naval Research integrated research and development effort to develop human performance models and metrics for use in the human centered design environment consisting of a human centered design process and an accompanying toolset. These models, metrics, processes, and tools support the development of advanced human computer interface technologies that comprise the advanced multimodal watchstation, but are applicable to the larger design space of total ship.

Simulation-Based Design of Wind-Turbine Sealing Solutions Using a Systematic Approach to Robust Concept Exploration

2012 ◽  
Author(s):  
Frank Schönberg ◽  
Matthias Messer
Keyword(s):  
Product Development ◽  
Wind Turbine ◽  
Conjoint Analysis ◽  
Material Properties ◽  
Systematic Approach ◽  
Industrial Practice ◽  
Simulation Based Design ◽  
Simulation Based ◽  
Concept Exploration ◽  
Geometrical Dimensions

Designing sealing solutions in wind turbines made of elastomeric materials that are robust to various uncertainties from manufacturing errors, material imperfections and wind turbine operation is a challenging task. In this paper, we focus on the simulation-based design of material properties and geometrical dimensions of such sealing solutions. We use a systematic approach to robust concept exploration based on a multi-objective decision formulation, the compromise Decision Support Problem (cDSP). Besides using the rather traditional Archimedean or standard utility function based goal formulations in the cDSP, we leverage the conjoint analysis approach to facilitate the preference elicitation process for the various stakeholders involved in the complex product development processes in industrial practice. By parametrically tailoring geometrical dimensions and material properties, characteristics that are superior to those of more heuristic sealing designs and less sensitive to imperfections in the processing and manufacturing routes as well as operation of the wind turbine are achieved. We compare base-line and various robust solutions from traditional Archimedean and standard or conjoint analysis utility function goal formulations. Thereby, we show that using the conjoint analysis within a systematic approach to robust concept exploration is well-suited for industrial practice. The systematic approach to robust concept exploration not only yields superior solutions validated by sealing prototypes in wind turbine operation, it also fosters product development efficiency by applying design of experiment and meta-modeling techniques instead of focusing on a more heuristic product development process to achieve sealing designs.

scholarly journals A Methodology for Product Development in Mobile Machinery: Case Example of an Excavator

Machines ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 70
Author(s):  
Nima Alaei ◽  
Emil Kurvinen ◽  
Aki Mikkola
Keyword(s):  
Product Development ◽  
Expert Knowledge ◽  
User Feedback ◽  
Product Development Process ◽  
End User ◽  
Know How ◽  
Traditional Design ◽  
Simulation Based ◽  
Mobile Machinery ◽  
Industrial Machine

Digital tools have become indispensable for the testing and modification of prototypes in mobile and industrial machine manufacturing. Data that are extracted from virtual experimentation and analysis are both affordable and valuable, due to their repeatability and because they are close to real-world observations. Expert knowledge is a prerequisite for full deployment of computer aided engineering tools in the design phase and concomitant stages of product development. Currently, such knowledge, for the most part, is provided by the product development team and the manufacturer. Yet, it is important that manufacturers and designers receive end-user feedback throughout the product development process. However, end-users often lack sufficient know-how about the technical and engineering background of the product development, and this lack of understanding can become a barrier to user-designer communication. The aim of this article is to present an alternative to traditional design approaches that is based on customized real-time multibody simulation. This simulation-based approach can be seen as a platform that has the potential to improve knowledge management systems for product development. End-user feedback to the designer is given in a systematic manner throughout the design process using a multipurpose XML-based multibody environment.

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