Determination of ranged sets of design specifications by incorporating design-space heterogeneity

2008 ◽  
Vol 40 (11) ◽  
pp. 1011-1029 ◽  
Author(s):  
Huibin Liu ◽  
Wei Chen ◽  
Michael J. Scott ◽  
Khurshid Qureshi
Keyword(s):  
Design Space ◽  
Design Specifications

Quantifying Design Feasibility Using Probabilistic Feasibility Analysis

1991 ◽  
Author(s):  
R. J. Eggert
Keyword(s):  
Design Space ◽  
Mechanical Design ◽  
Three Dimensional ◽  
Feasibility Analysis ◽  
Manufacturing Processes ◽  
Moment Matching ◽  
Probabilistic Constraint ◽  
Constraint Equations ◽  
Design Specifications ◽  
Variation Propagation

Abstract Engineered products are designed for manufacture using nominal values and tolerances. As such, finished products will more or less satisfy design specifications depending on the actual materials and manufacturing processes used. Design feasibility, therefore, depends on how these variations impact specified constraints. Probabilistic feasibility analysis can be used to extend conventional feasibility analysis. By using moment matching and simulation, the probability of points occurring in the design space can be evaluated. The resulting values establish the limits of feasibility and the amount of feasibility in between. The nature of variation in mechanical design is introduced along with concepts of variation propagation in functions of random variables. Moment matching methods are applied to illustrative cases consisting of deterministic and probabilistic constraint equations, resulting in three dimensional feasibility mappings of each design space.

Shape Design From Exemplar Sketches Using Graph-Based Sketch Analysis

2012 ◽  
Vol 134 (11) ◽  
Author(s):  
Günay Orbay ◽  
Levent Burak Kara
Keyword(s):  
Design Space ◽  
Deformation Analysis ◽  
Functional Requirements ◽  
Shape Information ◽  
Interactive Editing ◽  
Geometric Deformation ◽  
A New Technique ◽  
Shape Characteristics ◽  
2D And 3D

We describe a new technique that works from a set of concept sketches to support the exploration and engineering of products. Our approach allows the capture and reuse of geometric shape information contained in concept sketches, as a means to generate solutions that can concurrently satisfy aesthetic and functional requirements. At the heart of our approach is a graph-based representation of sketches that allows the determination of topological and geometric similarities in the input sketches. This analysis, when combined with a geometric deformation analysis, results in a design space from which new shapes can be synthesized, or a developing design can be optimized to satisfy prescribed objectives. Moreover, it facilitates a sketch-based, interactive editing of existing designs that preserves the shape characteristics captured in the design space. A key advantage of the proposed method is that shape features common to all sketches as well as those unique to each sketch can be separately identified, thus allowing a mixing of different sketches to generate a topologically and geometrically rich set of conceptual alternatives. We demonstrate our technique with 2D and 3D examples.

Determination of the design space of the HPLC analysis of water-soluble vitamins

2013 ◽  
Vol 36 (11) ◽  
pp. 1703-1710 ◽  
Author(s):  
Hebatallah A. Wagdy ◽  
Rasha S. Hanafi ◽  
Rasha M. El-Nashar ◽  
Hassan Y. Aboul-Enein
Keyword(s):  
Hplc Analysis ◽  
Design Space ◽  
Water Soluble

Improving the Design Process by Predicting Downstream Values of Design Attributes

1996 ◽  
Author(s):  
Simon Szykman
Keyword(s):  
Design Process ◽  
Predictive Models ◽  
Development Time ◽  
Computational Models ◽  
Design Space ◽  
Computational Approach ◽  
Preliminary Design ◽  
Design Specifications ◽  
Design Alternatives ◽  
Design Attributes

Abstract This paper presents a computational approach to developing design space models that are utilized to improve the design process by predicting values of downstream design attributes based on information available at early stages, such as preliminary design specifications. The predictive models are similar in function, though not in form, to the internal (mental) models created by experienced designers; however, the advantages of these models are that it may be possible to construct them in the absence of a designer’s internal models, and that they can be passed on to and used by less experienced designers. Once created, the computational models aid designers in exploration of design alternatives and to reduce design costs and product development time.

Digitalizing sound in your personal space

2021 ◽  
Vol 263 (5) ◽  
pp. 1620-1632
Author(s):  
Ramana Kappagantu ◽  
Karl Karlson ◽  
Koen Vansant
Keyword(s):  
Design Space ◽  
Personal Space ◽  
Living Room ◽  
Acoustic Behavior ◽  
Recent Past ◽  
Frequency Range ◽  
Design Specifications ◽  
The Past ◽  
Audible Frequency ◽  
Order Of Magnitude

Design specifications for appliances are usually in the context of standard acoustic rooms like anechoic (full or hemi) and sometimes reverberant. However in the world of infotainment industry the devices are operated in your personal space - a generic environment like that of a living room and they continuously interact with other devices in real time. One has to take into account the scattering and absorption of sound from different surfaces and how they constructively and destructively interfere in generating a signature sound for the room and the devices. This environmental impact increases the design space significantly and makes it impractical to consider physical prototyping and testing. Simulating the acoustic behavior of the devices in a room environment has been attempted in the past and were successful only for lower frequency ranges or for smaller rooms. High end Multipole BEM and FEM Adaptive Order technologies have emerged in the recent past and together with parallel cloud computing make the modeling of generic room environment more feasible, up to a few kHz given adept hardware setup. A different, more asymptotic method like Ray Tracing provides a real breakthrough here and enables taking on the full audible frequency range and large rooms, in at least one order of magnitude faster solving times compared to the more conventional FEM and BEM method, which further supports optimization possibilities for different configurations in reasonable time.

Determination of design space and optimization of solar water heating systems

Solar Energy ◽  
2007 ◽  
Vol 81 (8) ◽  
pp. 958-968 ◽  
Author(s):  
Govind N. Kulkarni ◽  
Shireesh B. Kedare ◽  
Santanu Bandyopadhyay
Keyword(s):  
Design Space ◽  
Water Heating ◽  
Heating Systems ◽  
Solar Water Heating ◽  
Solar Water

Determination of Ranged Sets of Design Specifications by Incorporating Heterogeneous Design Capability Information

2006 ◽  
Author(s):  
Huibin Lui ◽  
Wei Chen ◽  
Michael J. Scott ◽  
Khurshid Qureshi
Keyword(s):  
Rough Set Theory ◽  
Design Concepts ◽  
Overall Design ◽  
Design Specifications ◽  
Design Goal ◽  
Design Flexibility ◽  
Design Attribute ◽  
Conventional Optimization ◽  
Attribute Space

Setting design specifications (targets) is a critical task in the early stages of a design process. Flexible targets can accommodate uncertainty and changes in design by postponing design commitments and preserving design freedom. In this work, a new and efficient method for obtaining a ranged set of design specifications that meets the overall design goal while incorporating heterogeneous design capability information is developed. Our proposed method involves two important aspects. First, a quantization algorithm based on rough set theory is used to decompose a design attribute space into subregions based on how well they meet the overall design goal. Second, a new design flexibility measure is used as a metric to select the most desired “target region” based on both the size of the region and the design capability information retrieved from potential design concepts. Our approach captures heterogeneous design capability information in the design attribute space and enhances the ability to adapt to evolving design knowledge as well as unexpected changes. The proposed method is much more efficient than conventional optimization algorithms for solving such problems. The proposed method is demonstrated by a numerical example and the design of a domestic blender.

Topology Optimization of Planar Gear-Linkage Mechanisms

2019 ◽  
Vol 141 (3) ◽  
Author(s):  
Neung Hwan Yim ◽  
Seok Won Kang ◽  
Yoon Young Kim
Keyword(s):  
Topology Optimization ◽  
Design Space ◽  
Optimization Method ◽  
Mechanism Synthesis ◽  
Gear Design ◽  
Linkage Design ◽  
Gradient Based ◽  
Mechanical Elements ◽  
Topology Optimization Method

Topology optimization for mechanism synthesis has been developed for the simultaneous determination of the number and dimension of mechanisms. However, these methods can be used to synthesize linkage mechanisms that consist only of links and joints because other types of mechanical elements such as gears cannot be simultaneously synthesized. In this study, we aim to develop a gradient-based topology optimization method which can be used to synthesize mechanisms consisting of both linkages and gears. For the synthesis, we propose a new ground model defined by two superposed design spaces: the linkage and gear design spaces. The gear design space is discretized by newly proposed gear blocks, each of which is assumed to rotate as an output gear, while the linkage design space is discretized by zero-length-spring-connected rigid blocks. Another set of zero-length springs is introduced to connect gear blocks to rigid blocks, and their stiffness values are varied to determine the existence of gears when they are necessary to produce the desired path. After the proposed topology-optimization-based synthesis formulation and its numerical implementation are presented, its effectiveness and validity are checked with various synthesis examples involving gear-linkage and linkage-only mechanisms.

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