CAE-An Approach to a Shorter Product Design Cycle Time

1988 ◽  
Author(s):  
Michael J. Reed ◽  
Mukesh R. Trivedi
2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Fang Zhang ◽  
Xin Liu ◽  
Fan-Yi Meng ◽  
Qun Wu ◽  
Jong-Chul Lee ◽  
...  

This paper presents a compact planar rectenna with high conversion efficiency in the ISM band. The proposed rectenna is developed by the decomposing of a planar rectenna topology into two functional parts and then recombining the two parts into a new topology to make the rectenna size reduction. The operation mechanism of the antenna and rectifying circuit in the proposed novel topology is explained and the design methodology is presented in detail. The proposed topology not only reduces the rectenna design cycle time but also leads to easy realization at the required frequency ranges with a very low cost. For validation, a 2.45 GHz rectenna system is designed and measured to show their microwave performances.


Author(s):  
Nanxin Wang ◽  
Vijitha Kiridena ◽  
Gianna Gomez-Levi ◽  
Jian Wan ◽  
Steven Sieczka ◽  
...  

Appraising vehicle package design concepts using seating bucks — physical prototypes representing vehicle package, is an integral part of the vehicle package design process. Building such bucks is costly and may impose substantial burden on the vehicle design cycle time. Further, static seating bucks lack the flexibility to accommodate design iterations during the gradual progression of a vehicle program. A “Computer controlled seating buck”, as described in this paper, is a quick and inexpensive alternative to the traditional seating bucks with the desired degree of fidelity. It is particularly useful to perform package and ergonomic studies in the early stages of a vehicle program, long before the data is available to build a traditional seating buck. Such a seating buck has been developed to accommodate Ford vehicle package design needs. This paper presents the functional requirements, the high level conceptual design of how these requirements are realized, and the methods to verify, improve and sustain the dimensional accuracy and capability of the new computer controlled seating buck.


2013 ◽  
Vol 589-590 ◽  
pp. 675-679
Author(s):  
Zi Qiang Zhang ◽  
Zhi Feng Deng ◽  
Run Dian Li

Aiming at there are multifarious small shaft and sleeve subassemblies, in which shape and quantity of parts are different, the adaptable design concept was applied to the design of auto assembly machine product platform for small shaft and sleeve subassemblies. According to the general structure design and the module partition for the product platform, a parameterized design method that the number of stations is the main parameter was proposed. And the parameterized product platform, which can be suitable for the automatic assembling of multifarious small shaft and sleeve subassemblies and can be upgraded, was founded. Thus, the universality of the product platform is improved, and the product design cycle is shortened.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Jia Hao ◽  
Yan Yan ◽  
Guoxin Wang ◽  
Lin Gong ◽  
Bo Zhao

With the rapid development of information communication technology, the available information or knowledge is exponentially increased, and this causes the well-known information overload phenomenon. This problem is more serious in product design corporations because over half of the valuable design time is consumed in knowledge acquisition, which highly extends the design cycle and weakens the competitiveness. Therefore, the recommender systems become very important in the domain of product domain. This research presents a probability-based hybrid user model, which is a combination of collaborative filtering and content-based filtering. This hybrid model utilizes user ratings and item topics or classes, which are available in the domain of product design, to predict the knowledge requirement. The comprehensive analysis of the experimental results shows that the proposed method gains better performance in most of the parameter settings. This work contributes a probability-based method to the community for implement recommender system when only user ratings and item topics are available.


Author(s):  
Jeffrey W. Herrmann ◽  
Mandar M. Chincholkar

Abstract This paper describes a decision support tool that can help a product development team reduce manufacturing cycle time during product design. This design for production (DFP) tool determines how manufacturing a new product design affects the performance of the manufacturing system by analyzing the capacity requirements and estimating the manufacturing cycle times. Performing these tasks early in the product development process can reduce product development time. The paper presents a comprehensive DFP approach and describes the components of the DFP tool, which gives feedback that can be used to eliminate manufacturing cycle time problems. We present an example that illustrates the tool’s functionality.


Author(s):  
Gregory M. Roach ◽  
Jordan J. Cox ◽  
Jared M. Young

A major challenge in industry today is to reduce the cost and cycle time in product development while maintaining enough flexibility to adapt to changing markets. Businesses are requiring more and more flexibility in order to produce custom goods at low cost. A new strategy called the Product Design Generator is presented to provide flexible product platforms through an automated design process where product variation is built into the product development process and is achieved through scalable and in some instances modular parametric models for a given product platform embodiment. A case study of web-based Product Design Generator is presented. The axial turbine disk Product Design Generator demonstrated cycle time reduction from 500 man hours to 15 minutes. This new product development strategy has demonstrated the potential to provide engineers the ability to study more potential design solutions, reduce the number of opportunities to introduce error in the product development process, and allows companies to apply a consistent design process across the organization.


Author(s):  
Alastair S. Clark ◽  
Zdenko Jurjevic

ALSTOM has made big improvements in simulating the dynamic behaviour of the GT (rotor, bearings and structural parts), in terms of displacements and forces by developing a 2 stage approach comprising a simplified physical model and detailed calculations using finite elements condensed into a matrix super element (substructuring). The models from each have been validated against frequency measurements. The simplified approach provides a fast overview in terms of sensitivity analysis of basic physical influences. It accurately reflects the generic dynamic behaviour of both rotor and structure. Reducing the FE-calculation time by a factor of 10 has enabled the influence of small or large modifications to individual part designs on the dynamic behaviour of the GT to be understood to the highest level of detailed design features. Calculated frequency results from modal and forced response calculations are compared to measurements within a 2% margin. In particular the focus is on the improvements in the quality of the finite element modelling with more detailed features and more accurate identification of eigenfrequencies and coupled modes. Validation work comprises the modal analysis of single parts and subassemblies as well as matching mode shapes and frequencies of complete gas turbine. Models are used to evaluate design improvements prior to engine testing or implementation in field engines in order to comply with prescribed exclusion zones, to be introduced as early as the concept stage as well as providing project teams with overviews for planning and decision making. Future developments to include Modal Assurance Criteria and rapid post-processing will further reduce design cycle time and improve quality in terms of the consistency and repeatability with regard to mode shape recognition.


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