Developing methodologies for robust mechanical engineering design

1997 ◽  
Vol 211 (3) ◽  
pp. 179-188 ◽  
Author(s):  
W Dunsmore ◽  
G Pitts ◽  
S M Lewis ◽  
C J Sexton ◽  
C P Please ◽  
...  
Keyword(s):  
Engineering Design ◽  
Product Performance ◽  
Design Stage ◽  
Design Parameters ◽  
Cam Mechanism ◽  
Detail Design ◽  
Functional Reliability ◽  
Computer Based ◽  
Industrial Context

This paper considers robust product design applied to mechanical systems via computer-based models at the detail design stage. This involves the efficient use of computer-based experiments to understand how product performance, both its mean and variability, depends on the design parameters. The integration of the general concepts and practical tools is described in terms of the design process, with the aim of making the techniques accessible to designers in an industrial context. The approach is motivated from a design for quality standpoint and is directed principally at improving functional reliability, while addressing issues of performance and cost. The approach is illustrated using a case study on the robust design of a cam mechanism.

Engineering Design Analysis Tool for Early Design Phase With Low-Fidelity Models: A Case of Hydraulic Crane

2017 ◽  
Author(s):  
Asko Ellman ◽  
Sami Pajunen ◽  
Ilari Laine ◽  
Eric Coatanea
Keyword(s):  
Engineering Design ◽  
Design Analysis ◽  
Design Parameters ◽  
Analysis Tool ◽  
Design Phase ◽  
Early Design ◽  
Standard Design ◽  
Hydraulic Crane ◽  
Early Design Phase

Model-based product design using computer simulation has become a standard design practice in most companies in mechanical engineering. However, there is a need for efficient simulation tools that can provide design-supporting information already at early design phase when the most important decisions are made. Design process and design tools need to be agile and enable iterative process where the design and its requirements can effectively be iterated. Low-fidelity models can be part of the solution for time issue in early design phase. Low-fidelity prototypes are simplified representations of functions and concepts in the virtual prototype. Axiomatic design with low-fidelity modelling approach is a promising concept for achieving design-supporting information in an efficient way. In this method, there is a linear mapping between design parameters and system characteristics. Non-linear models of the system are linearized at the nominal point. An engineering design analysis tool (EDA tool) to enhance EDA is constructed and presented in this paper. For evaluation of the usefulness of this tool, a case study is presented. The case study deals with a simple hydraulic crane that is manufactured from steel plate. The results of the case study design are compared with results achieved with conventional CAD and FEM tools. Modelling accuracy and required modelling and simulation efforts are compared in both cases.

scholarly journals Improving the Availability of Manufacturability Information through Decentralization of Process Planning

2008 ◽  
Vol 31 (1) ◽  
pp. 102-117
Author(s):  
Eliab Z Opiyo
Keyword(s):  
Product Development ◽  
Production Process ◽  
Process Planning ◽  
Research Issues ◽  
Main Research ◽  
Detail Design ◽  
Planning Phase ◽  
Computer Based ◽  
Prototype Software

Process planning is part of the general product development and production process that usually follows design and precedes manufacturing. Manufacturability and process planning information in general play central role in many product development and production activities, including paradoxically, conceptual and detail design - the activities that take place before process planning. The need of conducting some of the process planning activities formally before or during design is thus rather obvious. One of the main research issues is therefore the identification of the process planning activities that can be performed before the traditional process planning phase and handling of the process planning information so as to adequately provide the designers with the manufacturability informationneeded during conceptual and detail design. Another issue is how to support collaboration during process planning and how to maintain continuity of the process planning tasks. This paper suggests the decentralization of the process planning task and proposes the execution of the process planning activities in a piecemeal fashion, starting right afterreceiving an order and specifying the requirements for a product. Process planning under the proposed procedure consists of six semi-autonomous sub-phases, some of which comprise activities that must be conducted prior to the process planning phase. This helps to overcome the problem of timely availability of manufacturability information during the execution of upstream and downstream product development and production activities. The paper alsoproposes a computer-based method of handling the manufacturability information generated in various stages of the product development and production process. A database design and structure of prototype software that manages the process planning information are presented and discussed. Furthermore, a case study conducted to explore howthe proposed process planning procedure could be put in use is presented and discussed.

Design for Fixturability (DFF) Methodology for Commodity Parts: A Case Study With Connecting Rod Designs

2002 ◽  
Vol 2 (1) ◽  
pp. 21-27 ◽  
Author(s):  
Khurshid A. Qureshi ◽  
Kazuhiro Saitou
Keyword(s):  
Mass Production ◽  
Parametric Representation ◽  
Design Stage ◽  
Design Parameters ◽  
Concept Design ◽  
Connecting Rod ◽  
Automotive Engine ◽  
Part Families ◽  
Manufacturing Facilities

This paper presents a methodology called ‘Design for Fixturability’ (DFF). This methodology enables designers to perform manufacturability analysis of their product designs upfront into the design process. The DFF approach provides a mapping between parametric representation of a part design and fixturing capability of a facility and presents a methodology to evaluate the design with respect to the fixturing capabilities. The methodology is applicable to the mass-production commodity parts and part families, which typically require dedicated manufacturing facilities. A prototype DFF system for connecting rods of an automotive engine is developed. The system enables the designers to design the connecting rods by considering the fixturing (datums) capabilities of existing manufacturing facilities during the concept design stage, when design parameters are still not frozen. The DFF system analyzes the design with respect to fixturing capabilities of facilities and generates suggestions for the designer, to modify his design if required.

Fuzzy Ratings in Mechanical Engineering Design—Application to Bearing Selection

1996 ◽  
Vol 210 (1) ◽  
pp. 49-53 ◽  
Author(s):  
Y H Chen
Keyword(s):  
Engineering Design ◽  
Design Automation ◽  
Fuzzy Numbers ◽  
Weighted Average ◽  
Design Stage ◽  
Design Elements ◽  
Fuzzy Weighted Average ◽  
Design Alternatives ◽  
Abstract Level

In the preliminary stage of engineering design, descriptions of design elements are often imprecise. In this paper, imprecision is represented using fuzzy numbers. Calculation based on fuzzy weighted average is performed to produce the ratings among design alternatives. Alternatives then proceed to the more detailed design stage in the fuzzy rating order. This method provides a tool for design automation at a higher abstract level. This is demonstrated in the bearing selection case study where imprecise linguistic description of a design problem in a manner similar to human language can be accommodated.

An approach to analyze the position and orientation between two parts assembled by non-ideal planes

2020 ◽  
Vol 235 (1-2) ◽  
pp. 41-53
Author(s):  
Jian Zhang ◽  
Lihong Qiao ◽  
Zhicheng Huang ◽  
Nabil Anwer
Keyword(s):  
Performance Analysis ◽  
Degrees Of Freedom ◽  
Product Performance ◽  
Design Stage ◽  
Manufacturing Errors ◽  
Surface Deviations ◽  
Design Requirements ◽  
Position And Orientation ◽  
General Product

Performance analysis, which plays a key role in the design stage, is employed to estimate whether product performance can satisfy design requirements. In general, product performance is gained after parts are assembled; product performance is influenced by the position and orientation deviations (PODs) that occur in directions of the constrained degrees of freedom (DOFs) due to the surface deviations of mating-surfaces. Furthermore, PODs are uncertain because the surface deviations as well as positions in the unconstrained DOF directions can vary randomly. Thus, predicting the consequences of uncertain PODs on product performance is key for performance analysis. Considering that planes are extensively used in assemblies, this study aims to propose a statistical approach to analyze the uncertain PODs of non-ideal planes. A modeling method from the perspective of manufacturing errors is employed to describe the uncertain surface deviations. A method for computing the uncertain PODs based on the progressive adjustment of coordinate systems is proposed. The maximum PODs that characterize the most unfavorable assembly situation are determined as evaluation indicators. Finally, the effectiveness of the presented approach is verified by a case study. Because both the effects of uncertain surface deviations and uncertain positions on PODs can be considered, the approach is expected to help predict the practical effects of uncertain PODs on product performance accurately during the design stage.

scholarly journals Aspects Regarding the Redesign of a Component of the Vertical Lifting Module Used in Sustainable Production Management

2021 ◽  
Author(s):  
Constantin Torcatoru ◽  
Dan Săvescu
Keyword(s):  
3D Modeling ◽  
Production Management ◽  
Product Performance ◽  
Design Stage ◽  
Product Analysis ◽  
Manufacturing Costs ◽  
Design Efficiency ◽  
Cost Reductions ◽  
Made In

Abstract To remain competitive on the market with a developed product, it’s very important to analyze the manufacturing costs and times, from the concept stage of the product. Design for manufacturing and assembly (DFMA) is one of the engineering methods that can be applied to reduce manufacturing costs and times, right from the design stage, without compromising product performance and reliability. The 3D modeling of the tray was made in Solidworks, and for the analysis of it’s manufacture and assembly, the Boothroyd and Dewhurst principle and recommendations from the DFMA software were followed. This paper presents a case study for a subassembly called a tray, used in automatic vertical storage systems. For the redesigned model, substantial improvements were obtained, through cost reductions of 12% and an increase in design efficiency from 4.86 to 12.03. Product analysis using DFMA has proven to be a key point in the development of a product that meets engineers.

scholarly journals Application of Axiomatic Design for the Design of a Safe Collaborative Human-Robot Assembly Workplace

2018 ◽  
Vol 223 ◽  
pp. 01003 ◽  
Author(s):  
Luca Gualtieri ◽  
Erwin Rauch ◽  
Rafael Rojas ◽  
Renato Vidoni ◽  
Dominik T. Matt
Keyword(s):  
New Technologies ◽  
Axiomatic Design ◽  
Complex Problem ◽  
Design Stage ◽  
Design Parameters ◽  
Concept Design ◽  
Functional Requirements ◽  
Engineering Research ◽  
Factory Of The Future

In the context of the Industry 4.0 wave, which is currently making its way into production engineering research, human robot collaboration is also a very important topic. With new technologies and ever more intelligent control systems for machines and robots, the cooperation between human and machine has become easier. In the smart factory of the future, robots are working hand in hand with people and support them, when their assistance is needed. However, the implementation of such collaborative human-robot workplaces is not so easy in practice. The design of collaborative workplaces also presents completely new challenges in terms of safety of the worker. Such a complex problem requires a systematic and structured approach for concept design, in order to avoid loops in the design stage or even worse during implementation. The research team therefore uses a laboratory case study to show how Axiomatic Design can be used as a method to design collaborative human-robot workstations. First, functional requirements for such workplaces are defined. Based on the functional requirements, the design parameters are derived by using the Axiomatic Design mapping and decomposition process. The result is a concept study for a collaborative workplace in the laboratory environment based on Axiomatic Design.

scholarly journals Holistic Design of Energy Pile Bridge Deicing System With Ontology-Based Multiobjective Decision Making

2021 ◽  
Vol 8 ◽  
Author(s):  
Peng Zhang ◽  
Chunyi Cui ◽  
Chaoji Li ◽  
Cheng Zhang ◽  
Hailong Liu
Keyword(s):  
Decision Making ◽  
Life Cycle Cost ◽  
Design Stage ◽  
Design Parameters ◽  
Energy Pile ◽  
Early Design Stage ◽  
Design Scheme ◽  
Decision Making System ◽  
Holistic Design

Even though the energy piles have been applied for the bridge deicing system, the traditional design approach is commonly a single-domain and objective-oriented method and is consequently lacking means to comprehensively consider all the relevant factors, such as life-cycle cost, investment payback cycle, carbon emissions, etc. This paper presents a holistic design scheme for the energy pile deicing system of bridge decks. In this paper, a holistic designing tool, namely, OntoBDDS, was developed based on ontology method and SWRL rules. It can automatically provide financial, safety, and heat flux information for designers to evaluate and optimize the design scheme of a deicing system in the early design stage of a bridge. After semantic and syntactical validation of the OntoBDDS system, a case study was also conducted to demonstrate how to leverage knowledge query to provide a series of design alternatives autonomously through considering different design parameters. This case study also verified the practicability and feasibility of the OntoBDDS holistic decision-making system and indicated its potential to be applied for other engineering problems when dealing with multiobjective holistic design making.

Teaching Computer Based Historical Data Analysis

1994 ◽  
Vol 6 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Charles Anderson ◽  
Robert J. Morris
Keyword(s):  
Data Analysis ◽  
Social History ◽  
Historical Data ◽  
Good Practice ◽  
Computer Assisted ◽  
Historical Data Analysis ◽  
University Of Edinburgh ◽  
Computer Based ◽  
The University

A case study ofa third year course in the Department of Economic and Social History in the University of Edinburgh isusedto considerandhighlightaspects of good practice in the teaching of computer-assisted historical data analysis.

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