Functional Tolerancing: A Design for Manufacturing Methodology

1995 ◽  
Author(s):  
R. S. Srinivasan ◽  
Kristin L. Wood ◽  
Daniel McAdams
Keyword(s):  
Design For Manufacturing ◽  
Gear Transmission ◽  
Mathematical Basis ◽  
Physical Reasoning ◽  
Functional Tolerancing ◽  
Design And Manufacturing ◽  
Design Function ◽  
Profile Errors

Abstract The problem addressed in this paper is the development of a physico-mathematical basis for mechanical tolerances. The lack of such a basis has fostered a decoupling of design (function) and manufacturing. The groundwork for a tolerancing methodology is laid by a model of profile errors, whose components are justified by physical reasoning and estimated using mathematical tools. The methodology is then presented as an evolutionary procedure. This procedure harnesses the various tools to analyze profiles in terms of a minimum set of profile parameters and to re-generate them from the parameters. This equips the designer with a rational means for estimating performance prior to manufacturing, hence integrating design and manufacturing. The utility of the functional tolerancing methodology is demonstrated with performance simulations of a lathe-head-stock design, focusing on gear transmission with synthesized errors.

Structural Layout Design and Manufacture of a New Aerial Robot

2013 ◽  
Vol 365-366 ◽  
pp. 795-799
Author(s):  
Xiang Ming Zheng ◽  
Xue Song Liu
Keyword(s):  
Modular Design ◽  
Flight Test ◽  
Layout Design ◽  
Design For Manufacturing ◽  
Structure Design ◽  
Decoupling Control ◽  
Structural Layout ◽  
Aerial Robot ◽  
Design And Manufacturing ◽  
Design And Manufacture

This paper describes an unconventional structural layout design of aerial robot. A double-layered # shaped configuration is proposed to meet the requirements of decoupling control of eight-rotor aerial robot. Based on the modular design concept, structure design for manufacturing is combined with aerodynamic analysis to improve the level of integration of design and manufacturing. Results of manufacture and flight test show that our design on aerial robot is effective.

scholarly journals A design for manufacturing methodology using defects knowledge for aerospace product manufacturing

2021 ◽  
pp. 095440542110076
Author(s):  
Mohammed Elsouri ◽  
James Gao ◽  
Clive Simmonds ◽  
Nick Martin
Keyword(s):  
Collaborative Design ◽  
Knowledge Bases ◽  
Design For Manufacturing ◽  
Safety Critical ◽  
Novel Approach ◽  
Aerospace Companies ◽  
Design And Manufacturing ◽  
Product Manufacturing ◽  
The Uk ◽  
Associated Knowledge

Defects generated by the UK supply chain is much higher than its global competitors. Defects impact costs and production throughput due to unpredictable disruptions resulting in many non-value adding activities. However, defects data associated knowledge have rarely been considered and implemented as the manufacturing capability in existing design for manufacturing and assembly (DFMA) data/knowledge bases. On the other hand, current ICT systems used in the aerospace industry are not flexible enough to keep up with the new requirements of collaborating to manage knowledge properly, and the use of real-time manufacturing data generated in manufacturing activities. This research was carried out in collaboration with one of the UK’s largest aerospace companies in order to analyse the complexity of design and manufacturing activities of high-value safety-critical aerospace products. The results of the work are presented, and a novel approach and system was developed, that can be used to support DFMA using defects knowledge. The approach was implemented as a knowledge management system using collaborative design principles. Key findings from the main contribution in the context of extended enterprises of high value low volume safety critical product manufacturing are discussed.

Realization of DFM in Mold Design & Manufacturing

2011 ◽  
Vol 314-316 ◽  
pp. 2293-2300 ◽  
Author(s):  
Wen Ren Jong ◽  
Po Jung Lai
Keyword(s):  
Production Quality ◽  
Design For Manufacturing ◽  
Design Parameters ◽  
Production Cycle ◽  
Mold Design ◽  
Market Demand ◽  
Related Data ◽  
Knowledge Based ◽  
Design And Manufacturing ◽  
Navigating Process

The diversified market demand and shorter production cycle, as well as other factors, have increasingly complicate the problems of mold during design and manufacturing. Considering both design and manufacturing to facilitate the production progress, the effective collaborative development becomes an important issue for mold factor. The realization of DFM (Design for Manufacturing) is attached with more importance by the industry. More manufacturing-related data and information are added in the design phase, so that the manufacturing phase may be easier and smoother to enhance the competitive advantage, thus reducing the product development time and improving the production quality. Therefore, this research aimed to develop a web-based mold design for manufacturing architecture with knowledge management, and realize the application of DFM in the field of mold design/manufacturing with CAD redevelopment tool and by navigating design process. This research established a knowledge-based navigating process by utilizing design parameters and features, in order to increase the mold design/manufacturing efficiency to 50%, and avoid unnecessary human errors to ensure the accumulation and inheritance of correct knowledge.

Functional tolerancing: A design for manufacturing methodology

1996 ◽  
Vol 8 (2) ◽  
pp. 99-115 ◽  
Author(s):  
R. S. Srinivasan ◽  
K. L. Wood ◽  
D. A. McAdams
Keyword(s):  
Design For Manufacturing ◽  
Functional Tolerancing

A Function-Based Approach to Design for Manufacturing

2000 ◽  
Author(s):  
Manish Verma ◽  
William H. Wood
Keyword(s):  
Manufacturing Process ◽  
Design Space ◽  
Design For Manufacturing ◽  
The Internet ◽  
Functional Requirements ◽  
Organizational Constraints ◽  
Time Space ◽  
Design And Manufacturing ◽  
Potential Impact

Abstract Internet-enabled design and manufacturing requires more than just replacing physical walls with virtual ones in the old ‘over the wall’ design/manufacturing process. By emphasizing the functional requirements of a design, we propose to delay commitment to a manufacturing process, providing a larger design space for the designer and more flexibility to the manufacturer. A function-based approach is being developed which not only utilizes the increased understanding of both design and manufacturing but also exploits the benefits of the Internet to free the team of designers of time, space and organizational constraints. A design/manufacturing interface based on function is proposed and a scenario provided to demonstrate its potential impact.

On the Mathematical Basis of Zelen’s Prerandomized Designs

1985 ◽  
Vol 24 (03) ◽  
pp. 120-130 ◽  
Author(s):  
E. Brunner ◽  
N. Neumann
Keyword(s):  
Clinical Trial ◽  
Normal Distribution ◽  
Random Variables ◽  
Small Samples ◽  
Selection Effects ◽  
Sample Sizes ◽  
Mathematical Basis ◽  
Additional Assumptions

SummaryThe mathematical basis of Zelen’s suggestion [4] of pre randomizing patients in a clinical trial and then asking them for their consent is investigated. The first problem is to estimate the therapy and selection effects. In the simple prerandomized design (PRD) this is possible without any problems. Similar observations have been made by Anbar [1] and McHugh [3]. However, for the double PRD additional assumptions are needed in order to render therapy and selection effects estimable. The second problem is to determine the distribution of the statistics. It has to be taken into consideration that the sample sizes are random variables in the PRDs. This is why the distribution of the statistics can only be determined asymptotically, even under the assumption of normal distribution. The behaviour of the statistics for small samples is investigated by means of simulations, where the statistics considered in the present paper are compared with the statistics suggested by Ihm [2]. It turns out that the statistics suggested in [2] may lead to anticonservative decisions, whereas the “canonical statistics” suggested by Zelen [4] and considered in the present paper keep the level quite well or may lead to slightly conservative decisions, if there are considerable selection effects.

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