Design Shell for Parametric Design at Embodiment Stage

Author(s):  
Adwait Vaidya ◽  
Jami Shah

The embodiment design stage involves determination of geometric sizes, key parameter values, and matching of component variables to system requirements. This embodiment design stage can be parametrically represented as an iterative design-redesign problem. This paper presents a domain independent characterization of such problems; the characterization includes problem definition, design relations/procedures, and measures of goodness. The paper also discusses representation issues and solution techniques for design-redesign problems. Design tasks are differentiated as domain independent or problem specific and the scope of each design task with respect to the characterization is delineated. A Design Shell implemented on the basis of this characterization is described. This shell can be configured for evaluating designs in any domain. A case study illustrates the use of this Design Shell in characterizing a specific design problem and exploring its design space.

2021 ◽  
Author(s):  
Paul M. Sobota

<p><br clear="none"/></p><p>During the optioneering phase, engineers face the challenge of choosing between myriads of possible designs, while, simultaneously, several sorts of constraints have to be considered. We show in a case study of a 380 m long viaduct how parametric modelling can facilitate the design process. The main challenge was to satisfy the constraints imposed by several different stakeholders. In order to identify sustainable, aesthetic, economic as well as structurally efficient options, we assessed several key performance indicators in real time. By automatically estimating steel and concrete volumes, a simple, yet suitable approximation of the embodied carbon (considering 85-95%) can be obtained at a very early design stage. In summary, our parametric approach allowed us to consider a wider range of parameters and to react more flexibly to changing conditions during the project.</p><p><br clear="none"/></p>


Author(s):  
Juan C. Blanco ◽  
Luis E. Muñoz

The vehicle optimal design is a multi-objective multi-domain optimization problem. Each design aspect must be analyzed by taking into account the interactions present with other design aspects. Given the size and complexity of the problem, the application of global optimization methodologies is not suitable; hierarchical problem decomposition is beneficial for the problem analysis. This paper studies the handling dynamics optimization problem as a sub-problem of the vehicle optimal design. This sub-problem is an important part of the overall vehicle design decomposition. It is proposed that the embodiment design stage can be performed in an optimal viewpoint with the application of the analytical target cascading (ATC) optimization strategy. It is also proposed that the design variables should have sufficient physical significance, but also give the overall design enough design degrees of freedom. In this way, other optimization sub-problems can be managed with a reduced variable redundancy and sub-problem couplings. Given that the ATC strategy is an objective-driven methodology, it is proposed that the objectives of the handling dynamics, which is a sub-problem in the general ATC problem, can be defined from a Pareto optimal set at a higher optimization level. This optimal generation of objectives would lead to an optimal solution as seen at the upper-level hierarchy. The use of a lumped mass handling dynamics model is proposed in order to manage an efficient optimization process based in handling dynamics simulations. This model contains detailed information of the tire properties modeled by the Pacejka tire model, as well as linear characteristics of the suspension system. The performance of this model is verified with a complete multi-body simulation program such as ADAMS/car. The handling optimization problem is presented including the proposed design variables, the handling dynamics simulation model and a case study in which a double wishbone suspension system of an off-road vehicle is analyzed. In the case study, the handling optimization problem is solved by taking into account couplings with the suspension kinematics optimization problem. The solution of this coupled problem leads to the partial geometry definition of the suspension system mechanism.


2019 ◽  
Author(s):  
Jordan Ferreira Saran ◽  
Leonardo Botega

Situational Awareness (SAW) refers to the level of consciousness that an individual or team holds over a situation. In the area of ​​risk management and criminal data analysis, SAW failures can induce human operators to make mistakes in decision making and pose risks to life or property. In this context, risk assessment processes, which commonly involves data mining, fusion and other methods, present opportunities to generate better information and contribute to the improvement of the SAW of crime and risk analysts. However, the characterization of complex scenarios is subject to problems of representation and expressiveness of the information, which may influence its interpretation due to their quality and significance, generating uncertainties. The state-of-the-art in representation of information on risk situations and related areas presents approaches with limited use of information quality. In addition, the solutions are restricted to syntactic mechanisms for the determination of relations between information, negatively restricting the assertiveness of the results. Thus, this paper aims to develop a new approach to semantic representation of information of risk situations, more specifically creating domain ontologies, instantiated with crime data and information quality. In a case study, real information on crimes, represented by the new semantic model and consumed by computational inference processes, was be processed, aiming to characterize robbery and theft situations.


Author(s):  
Bernie Bettig ◽  
Jami J. Shah ◽  
Joshua D. Summers

Abstract In embodiment and detailed design one is often concerned with sizing and geometric arrangement. Constraint problems of satisfying certain relationships in feasible designs are often solved by domain specific procedures in design and manufacturing applications. This paper shows that a variety of such problems are reducible to a small set of generic problems solvable by domain-independent procedures. A taxonomy of constraint problem types is developed. The taxonomy is based on the types of entities, constraints, and tasks (reasoning or inquiry) that are to be performed. The “exemplar” is introduced as a new concept for describing complex situational patterns and extracting information of interest. Such a canonical representation of parametric problems is needed for designing cleaner interfaces between applications and generic solvers, as a basis for standardized data exchange between future CAD systems, and for providing the foundations for domain independent shells for parametric design.


1992 ◽  
Vol 114 (4) ◽  
pp. 633-641 ◽  
Author(s):  
H. M. Karandikar ◽  
F. Mistree

Difficulty in material selection is often mentioned as a reason for lengthy design cycles. Problems dealing with material selection play a central role in almost all design and are generally tackled using the experience-based judgment of a designer. Better methods for material selection are needed, however, because demands of efficient operation require judicious use of materials and there is increasing pressure to reduce costs. To date, material selection and dimensional synthesis of artifacts have mostly been tackled sequentially rather than concurrently. In this paper, a domain-independent, algorithmic method to guide a designer in the material selection phase of design is presented. The method enables concurrent determination of the material and the dimensions for an artifact. The approach, applicable to any material selection and design problem, is illustrated by a case study dealing with the design of a component made of composite materials.


2021 ◽  
Vol 2021 (3) ◽  
pp. 4698-4705
Author(s):  
B. Denkena ◽  
◽  
B. Bergmann ◽  
K. Kono ◽  
R. Ishiguro ◽  
...  

Heat losses within motor spindles lead to undesired effects such as machining inaccuracies and de-creasing lifetime of the motor and bearings. To reduce thermal loads, complex shaft cooling concepts with costly sealing techniques exist. For this reason, a novel, less costly cooling concept has been de-veloped based on heat pipes with high thermal conductivity and fin-shaped heat exchangers. The de-sign and integration of these heat exchanger elements into a motor spindle is carried out using the fi-nite element method. The aim is to optimize the efficiency of the heat pipes and heat exchangers for optimal shaft cooling performance. For a simulation-based development of a prototype spindle, un-known thermal characteristics of the heat transfer elements must be determined. In this paper, the de-termination of the thermal conductivity of the heat pipes is described. The determination of conductivi-ty is done experimentally. First, the developed test rig and the applied procedure for the determination of the conductivity are shown. Subsequently, the experimental results are presented and discussed. Two types of heat pipes were analyzed: Copper heat pipes with sintered wick structure and nickel-plated copper heat pipes with axial grooves. The influences of rotational speed, heat flow rates and the angle between the heat pipe and main axis of rotation were investigated. The results indicate a distinct dependency of the conductivity on the varied parameters. However, changes of parameter values have very different quantitative and qualitative effects on the determined conductivities de-pending on the type of heat pipe.


Optimization in ADC is an important component which predicts overall accuracy of a system using it. Signals are in real time nature and it is necessary to convert these signals in digital form to interpret with digital form of signals and microcomputer based systems. ADC is used to carry out these conversions process from analog to digital. Determination of parameters of an ADC such as DNL, INL, SNR and ENOB are necessary for complete dynamic analysis and characterization of ADC. In frequently, application prerequisite input to an Analog to digital converter is time varying which requires determination of its parameters at corresponding frequency and different test conditions In order to test an ADC, it is necessary to first determine its code transition levels. Further Gain error, DNL are estimated using code transition level based on histogram technique. If there is an code transition level error introduced then effect of this error leads to error in estimate of gain, offset, DNL and ENOB. Further estimation of variance in different parameter values is analyzed in the proposed work.


Author(s):  
Elena Eftimie

This paper proposes an analysis of factors that have a significant impact on energy efficiency in buildings. Thus, as a first objective proposes an analysis of the impact of rehabilitation and modernization of buildings in view of their energy performance improvement. A second followed objective consisted of the study of some production and use thermal energy systems in order to increase the thermal comfort. Based on a case study, this paper provides the opportunity for comparative analyses both among different insulation materials for buildings and among different heating systems. Determination of energy consumption for space heating and of the building comfort parameters was achieved using dynamic simulations by means of TRNSYS program; it was envisaged that the assessment of energy efficiency in buildings, the design stage or before their rehabilitation, is more economical than finding solutions in the use phase of buildings.


Author(s):  
Khurshid A. Qureshi ◽  
Kazuhiro Saitou

Abstract This paper introduces a new methodology called ‘Design for Facility over Internet (DFF)’. This methodology provides an Internet-based environment for designers to perform manufacturability analysis of product designs with respect to the capabilities of existing manufacturing facilities, upfront into the design process. In the current work, only fixturing (machining datums) capabilities of a manufacturing facility are considered. A prototype DFF system for an automotive connecting rod, is developed. The system enables the designers to design the connecting rods by considering the fixturing (datums) capabilities of existing manufacturing facilities upfront at the concept design stage. The complete system implementation will also enable the manufacturers of connecting rods to create and update the database of their capabilities over the Internet. The DFF system analyzes the parametric design with respect to the fixturing capabilities and generates suggestions for a designer, to modify his design if required, to fit the capabilities of specified facilities.


2019 ◽  
Vol 290 ◽  
pp. 06010
Author(s):  
Vasile Dragu ◽  
Eugenia Alina Roman

Transport studies are conducted for a better understanding of the actual mobility and for developing transport forecasting models to predict the future transport demand and the changes in travel patterns. Transport planning involves the decision-making process for potential improvements to a community’ s roadway infrastructure. The first transport models used to analyze globally the transport system requirements while nowadays models were rethought as a demand – supply interaction reflecting the correlation between transport and socio-economic development. The transport forecasting methodology use a four stage structure consisting of: trip generation, trip distribution, modal split, traffic assignment. In the second stage of the model, the generated trips for each zone are distributed to all other zones based on the choice of destination. The trip pattern is represented by means of an origin-destination (O-D) matrix. The Growth Factor Model and the Gravity Model are two methods to distribute trips among destinations. The two methods for developing the O-D Matrix are presented and criticized in this paper, showing the similarities and differences between them and highlighting the implications for rigorous determination of future transport demand. A case study is done to emphasize the differences between these models and their implications in carrying out transport studies.


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