scholarly journals A “Model to Model” Collaborative Perception Methodology for Distributed Design

2014 ◽  
Vol 6 ◽  
pp. 520672
Author(s):  
Neng Wan ◽  
Ke Du ◽  
Rong Mo ◽  
Gongnan Xie

To solve the problem of collaborative engineering changes of models distributed in heterogeneous design platforms, a “model to model” perception methodology is proposed in this paper. A self-management collaborative architecture is presented by peer to peer architecture and multiagent system. The network addresses correlation between heterogeneous platforms is built up by the perception router ontology. In the same way, the correlation between design models is described by the feature relation ontology. The design changes are encapsulated by the model modification ontology. Along with the ontology above, the design change search method is devised to catch the geometric changes; the influence search method is proposed to discover the influenced design feature and the design change adapting method is used to preserve the correlation coherence after perception. Through the work, the conventional design perception mode among designers has transformed into direct perception among models instead.

Author(s):  
Claudia Eckert ◽  
John Clarkson ◽  
Chris Earl

Design changes can be surprisingly complex. We examine the problems they cause and discuss the problems involved in predicting how changes propagate, based on empirical studies. To assist this analysis we distinguish between (a) a static background of connectivities (b) descriptions of designs, processes, resources and requirements and (c) the dynamics of design tasks acting on descriptions. The background might consist of existing designs and subsystems, or established processes used to create them. The predictability of design change is examined in terms of this model, especially the types and scope of uncertainties and where complexities arise. An industrial example of change propagation is presented in terms of the background (connectivity) - description - action model.


1996 ◽  
Vol 118 (1) ◽  
pp. 151-153 ◽  
Author(s):  
J. M. Vance ◽  
J. E. Bernard

Our overall goal is to develop software that facilitates the interactive participation of the designer in the optimization process. We are focusing this research on problems which use finite element solutions as part of the objective function. One challenge to implementing interactive participation in these types of problems is the high computational burden of computing a finite element solution for each design change. The research presented here focuses on a unique method to develop fast approximations for natural frequencies and mode shapes which can be used to avoid the time-consuming re-solution process and which will facilitate interactive design for systems with even large design changes.


Author(s):  
L. Siddharth ◽  
Prabir Sarkar

Design changes are necessary to sustain the product against competition. Due to technical, social, and financial constraints, an organization can only implement a few of many change alternatives. Hence, a wise selection of a change alternative is fundamentally influential for the growth of the organization. Organizations lack knowledge bases to effectively capture rationale for a design change; i.e., identifying the potential effects a design change. In this paper, (1) we propose a knowledge base called multiple-domain matrix that comprises the relationships among different parameters that are building blocks of a product and its manufacturing system. (2) Using the indirect change propagation method, we capture these relationships to identify the potential effects of a design change. (3) We propose a cost-based metric called change propagation impact (CPI) to quantify the effects that are captured from the multiple-domain matrix. These individual pieces of work are integrated into a web-based tool called Vatram. The tool is deployed in a design environment to evaluate its usefulness and usability.


2003 ◽  
Vol 125 (2) ◽  
pp. 233-239 ◽  
Author(s):  
Christoph Roser ◽  
David Kazmer ◽  
James Rinderle

New product design as well as design revision to remedy defects is complicated by an inability to precisely predict product performance. Designers often find that they are confident about the performance of some design alternatives and uncertain about others. Similarly, alternative design changes may differ substantially in uncertainty, potential impact, and cost. This paper describes a method for including the effects of uncertainty in the evaluation of economic benefits of various design change options. The results indicate that the most profitable change option sequence depends not only on relative costs but also on the relative degree of uncertainty and on the magnitude of the potential design defects. The method demonstrates how design change alternatives can be compared using the engineering design of a beam. Finally, the validity of some common engineering change heuristics are discussed relative to their associated, quantitatively determined limits.


2018 ◽  
Vol 46 (5) ◽  
pp. 36-43 ◽  
Author(s):  
Herman Vantrappen ◽  
Frederic Wirtz

Purpose Companies change their organizations continually. When such a change follows a change in company strategy, employees understand why it happens. However, organization changes occur much more frequently than strategy changes. Their seemingly haphazard nature breeds cynicism, while it shouldn’t: organization changes are perfectly normal, usually necessary and often for the better. The reason is that an organization design is never perfect. Designing an organization is a delicate exercise that considers diverging requirements, but at some point, you’ve got to decide, and go for the “least bad” design. The article lays out how to explain why such changes and cycles occur. Design/methodology/approach The authors draw on their long advisory experience to propose three premises about organization design. They then describe the implications of these premises for managers who need to make and explain organization design changes. Findings Premise 1: There is no one-size-fits-all organization. Implication: Beware of adopting organizational hypes thoughtlessly; tailor the design to the specific situation, possibly on the basis of an “organizational health-check”. 10;Premise 2: There are usually good reasons why an organization is as it is. Implication: Beware of following a slash-and-burn approach; consider a gradual approach as the default, possibly on the basis of causal loop diagrams. 10;Premise 3: Organization is more than “structure”. Implication: Beware of isolated, simple-minded changes; include “processes”, “people”, “technology” and “culture”, as explained by various frameworks. Practical implications Alfred Chandler famously wrote that “structure follows strategy”. This article demonstrates that “structure begets structure”. Hence it is important for managers not to bungle an organization design change. To that purpose, they should be clear about the desired time to see the impact of the change and about the risk of change-induced organizational chaos. Originality/value The article contributes to good management practice by enabling managers to explain well why an organization change, even in the absence of a strategy change, does make sense. Managers’ ability to explain the benefits of change, and employees’ acceptance thereof, is a mark of organizational maturity.


Author(s):  
Cheng-Zhang Wang ◽  
Kondala Rao Nagisetty ◽  
Federico Montanari ◽  
D. Chris Hill

This paper presents an investigation to improve the design of a generic fin heat exchanger, using novel discrete adjoint solver tools in the computational fluid dynamics (CFD) software FLUENT. A baseline design is analyzed initially to evaluate flow resistance and heat transfer. Optimization is conducted by deploying the adjoint solver. The heat load and the drag force are combined into an objective function using a Reynolds analogy approach. Sensitivities of the objective function to geometric changes are predicted by the adjoint, and then the mesh is morphed, and the predictions are verified by the full CFD solutions. Predetermined, engineering driven, geometric changes are explored and compared, and the range of validity of the predictions is evaluated. An algorithm is then developed to implement steepest descent, constrained optimization based on the adjoint solution. The algorithm is applied iteratively on the fin heat exchanger, and a comparison is performed between the change in objective function predicted by the adjoint, and that calculated in full CFD solutions on morphed meshes. The insight gained on the directions of design changes and attending quantitative improvement of the design objective function is very useful to guide the optimization process. This is enabled by the adjoint solver’s capability to robustly evaluate the sensitivities of the objective function to all solution variables, and predict changes in observables.


Author(s):  
Yunita Dian Suwandari ◽  
Oties T. Tsarwan

In every project, job changes are always happening and almost unavoidable. One of the factors that influence job change is a design change. This study analyzes the design changes that have caused delays in the Jakarta-Merak toll road widening project in the Cikupa area—collecting data using literature studies and questionnaires with five Linkert scales. The analysis used SPSS version 22. The research finding is five variables of design changes and changes due to the land’s location to be used as a project, which are the leading causes of changes in this project’s design.


2021 ◽  
Author(s):  
Josefina Sánchez ◽  
Kevin Otto

Abstract We study the use of Hessian interaction terms to quickly identify design variables that reduce variability of system performance. To start we quantify the uncertainty and compute the variance decomposition to determine noise variables that contribute most, all at an initial design. Minimizing the uncertainty is next sought, though probabilistic optimization becomes computationally difficult, whether by including distribution parameters as an objective function or through robust design of experiments. Instead, we consider determining the more easily computed Hessian interaction matrix terms of the variance-contributing noise variables and the variables of any proposed design change. We also relate the Hessian term coefficients to subtractions in Sobol indices and reduction in response variance. Design variable changes that can reduce variability are thereby identified quickly as those with large Hessian terms against noise variables. Furthermore, the Jacobian terms of these design changes can indicate which design variables can shift the mean response, to maintain a desired nominal performance target. Using a combination of easily computed Hessian and Jacobian terms, design changes can be proposed to reduce variability while maintaining a targeted nominal. Lastly, we then recompute the uncertainty and variance decomposition at the more robust design configuration to verify the reduction in variability. This workflow therefore makes use of UQ/SA methods and computes design changes that reduce uncertainty with a minimal 4 runs per design change. An example is shown on a Stirling engine design where the top four variance-contributing tolerances are matched with two design changes identified through Hessian terms, and a new design found with 20% less variance.


2021 ◽  
Vol 63 (2) ◽  
pp. 138-142
Author(s):  
Yahya Işık ◽  
Mücahit Göle

Abstract Seat frames in commercial vehicles generally consist of components such as foot brackets, seats, back, head restraints and fasteners. In addition to mechanical properties, comfort is another important parameter. This study aims to reduce the cost of a commercial vehicle by means of alternative materials and design changes in the passenger seat frame. For this purpose, three different methods were used to optimize seat back pipes: reducing the cross-section, using thinner sections in the seat frame via alternative material and making design changes in the foot brackets. In the methods applied, mitigation and cost reductions were achieved. The suitability of the design changes in the seat through geometric changes was confirmed by international ECE R14 test results and finite element method analyses.


Author(s):  
Gabriel Aguirre Ollinger ◽  
Thomas F. Stahovich

Abstract RedesignIT is a computer program that uses model-based reasoning to generate and evaluate proposals of redesign plans for engineered devices. These proposals describe how the design parameters could be changed to achieve a specified performance goal. Equally important, the program proposes complementary modifications that may be necessary to counteract the undesirable side effects of the primary changes. RedesignIT is intended for use during the first stages of a redesign project, when engineers need to make a quick, yet accurate assessment of the overall effects of a particular design change. The program uses qualitative device models, which allow it to compute redesign plans efficiently. With its ability to predict the collateral, and probably undesirable, effects of a design change, the program is well suited to aid product designers in deciding on the feasibility of introducing design changes to a product. RedesignIT employs methods of artificial intelligence, especially qualitative reasoning, causal reasoning, and heuristic search.


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