scholarly journals Integration of Design Data into a Design Solution and their Modification in Problems of Geometrical Modelling

2021 ◽  
pp. 85-92
Author(s):  
D. E. Tsygankov ◽  
G. R. Shaykheeva ◽  
I. V. Gorbachev
Keyword(s):  
Semantic Content ◽  
Subject Area ◽  
Design Solution ◽  
Design Parameters ◽  
Design Data ◽  
Cad Systems ◽  
Geometrical Modelling ◽  
Design Solutions

This article considers an approach to achieving modifiability of design solutions in the form of digital 3D parts and assembly units in CAD systems. This approach is based on a modular principle, according to which a design solution is represented by a system of 3D macro-objects. Such macro-objects are typical of a given subject area, have semantic content and are described by a set of design parameters. The variability of selected parameters forms a class of design solutions, which, although differing in terms of geometry and structure, have common structural and functional specific features. The main advantage of the proposed approach consists in the provision of the semantic integrity of a design solution during its modification and reuse.

Functional Design Methodology Based on Knowledge Databases Achievements

2015 ◽  
Vol 809-810 ◽  
pp. 865-870
Author(s):  
Manuela Roxana Dijmărescu ◽  
Dragoș Iliescu ◽  
Marian Gheorghe
Keyword(s):  
Design Process ◽  
Design Methodology ◽  
Design Solution ◽  
Functional Design ◽  
Design Solutions ◽  
Early Phases

Various architectures exposing certain phases of the design process have been developed. A closer analysis of the presented timelines is leading more to postpone the design solution rather than advancing it in the early phases. This paper advances a new architecture for the design process with the main emphasize on the product functional design, based on functional-constructive knowledge stored in databases, and on the principle of selecting design solutions in an incipient phase and developing them during the further design process stages.

Generation of Design Data Through Numerical Modeling of a Post and Dome Feature

1999 ◽  
Author(s):  
David A. Nichols ◽  
Anthony F. Luscher
Keyword(s):  
High Performance ◽  
Shear Loading ◽  
Design Parameters ◽  
Insertion Force ◽  
Design Data ◽  
Beam Equations ◽  
Regression Techniques ◽  
Sensitivity Data ◽  
Improved Design ◽  
Main Effects

Abstract This paper focuses on developing improved design equations to estimate the retention strength, insertion force, and insertion strain of a particular snap-fit, the post and dome feature. Finite element methods and multiple regression techniques were used in lieu of beam equations to develop the improved design equations. Sensitivity data is plotted for both the main effects and selected variable interactions. A study of detailed catch geometry was done in order to identify an optimal catch geometry. Typical design parameters were varied in order to develop design equations for users of this feature. The post and dome feature was selected for analysis because it is a high performance snap-fit that is self-datuming and can take some shear loading in addition to retention. The post and dome provide a higher ratio of retention force to insertion force than traditional cantilever snap-fits, and retention is less dependent on friction.

A Performance-Based Representation for Engineering Design

1999 ◽  
Author(s):  
Liang Zhu ◽  
David Kazmer
Keyword(s):  
Engineering Design ◽  
Design Solution ◽  
Design Parameters ◽  
Feasible Region ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Performance Orientation ◽  
Practical Design ◽  
Current Engineering ◽  
A Performance

Abstract A performance-based representation is presented, which uses the Performance Orientation Chart (POC) to aid the designer throughout an interactive design process. Assuming that all performance attributes can be expressed as functions of the design parameters, three types of graphical matrix are shown in the POC: 1) The design form depicts the performance attributes varying with the correspondent design parameters; 2) The performance dependency addresses the trade-off information among the multiple specifications based on Pareto optimal solutions; 3) The parameter constraint space defines the feasible region of the design, parameters within the, active specification limits. Guided by these graphical matrices, the designer can interactively develop the design solution to satisfy multiple specifications. The methodology was applied to a practical design problem to explicate how the POC can help the designer acquire a satisfying design solution with extensive confidence. Finally, the discussion, indicates that the performance-based representation is significantly compatible with other current engineering design methodologies.

Performance and Complexity Trade Study of Candidate Liquid Air Generation Techniques

2021 ◽  
Author(s):  
Masis Torosyan ◽  
Anthony Pollman ◽  
Anthony Gannon ◽  
Alejandro Hernandez
Keyword(s):  
Energy Storage ◽  
Selection Process ◽  
Design Solution ◽  
Design Engineers ◽  
Integration Techniques ◽  
Design Solutions ◽  
Trade Study ◽  
Liquefaction Process ◽  
Analysis System ◽  
Cascade Method

Abstract This paper presents the results of an alternatives analysis of gas-liquefaction methods used in liquid air energy storage (LAES) systems that incorporates two novel measures of performance (MOP) into the analysis: system complexity score and system density. The cryogenic methods typically considered for air, and used in this trade study, include Linde-Hampson, Claude, Heylandt, and cascade [1]. With these four options of air-liquefaction currently in use for a variety of purposes with ranging scales, there exists no standard selection process for the air-liquefaction method in LAES. This trade study provides fundamental design solutions for given stakeholder requirements, allowing for a pragmatic analysis of integration for future implementation of LAES systems. The intent of these design solutions is to be used in the earliest stage of consideration of a LAES implementation, helping stakeholders quickly narrow the focus of their design engineers to a specific liquefaction process. This will reduce the complexity of integration techniques and processes and streamline LAES into the energy-storage industry. The results of this study showed that with evenly weighted MOP the Heylandt method had the highest final weighted score (0.9), followed by Cascade (0.88), Claude (0.86), and Linde-Hampson (0.67). However, the results showed that the Cascade method was the most frequent design solution (8/11) from 11 variations of MOP weight distributions.

Design-by-Analogy: Exploring for Analogical Inspiration With Behavior, Material, and Component-Based Structural Representation of Patent Databases

2019 ◽  
Vol 19 (2) ◽  
Author(s):  
Hyeonik Song ◽  
Katherine Fu
Keyword(s):  
Mechanical Design ◽  
Semantic Content ◽  
Structural Representation ◽  
History Of ◽  
Design By Analogy ◽  
Computational Methodology ◽  
Design Solutions ◽  
Analogical Retrieval ◽  
Novel Design

Design-by-analogy (DbA) is an important method for innovation that has gained much attention due to its history of leading to successful and novel design solutions. The method uses a repository of existing design solutions where designers can recognize and retrieve analogical inspirations. Yet, exploring for analogical inspiration has been a laborious task for designers. This work presents a computational methodology that is driven by a topic modeling technique called non-negative matrix factorization (NMF). NMF is widely used in the text mining field for its ability to discover topics within documents based on their semantic content. In the proposed methodology, NMF is performed iteratively to build hierarchical repositories of design solutions, with which designers can explore clusters of analogical stimuli. This methodology has been applied to a repository of mechanical design-related patents, processed to contain only component-, behavior-, or material-based content to test if unique and valuable attribute-based analogical inspiration can be discovered from the different representations of patent data. The hierarchical repositories have been visualized, and a case study has been conducted to test the effectiveness of the analogical retrieval process of the proposed methodology. Overall, this paper demonstrates that the exploration-based computational methodology may provide designers an enhanced control over design repositories to retrieve analogical inspiration for DbA practice.

scholarly journals Power Plant Economic Analysis: Maximizing Lifecycle Profitability by Simulating Preliminary Design Solutions of Steam-Cycle Conditions

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2245 ◽  
Author(s):  
Chul-Seung Hong ◽  
Eul-Bum Lee
Keyword(s):  
Power Plant ◽  
Economic Analysis ◽  
Power Efficiency ◽  
The Philippines ◽  
Parametric Estimation ◽  
Design Solution ◽  
Maximum Efficiency ◽  
Technical Factors ◽  
Design Solutions ◽  
Steam Cycle

Many existing financial models for power plants chose a design based on the maximum thermal efficiency excluding the operational (OPEX) and capital (CAPEX) cost variations of technical factors. These factors are often fixed because including them in financial assessments can be burdensome and it is assumed that maximum efficiency equals maximum profit. However, this assumption may not always be right. Through 19,440 power plant steam-cycle design solutions and their associated OPEX and CAPEX, this study found the eighth most thermally-efficient solution to be $1.284 M more profitable than the traditional thermally-optimized design solution. As such, this paper presents a model incorporating technical factors through parametric estimation by minimizing the burden on decision makers. While this may reduce precision, it allows for quick cost assessments across differing design solutions. The data for model development was collected from a Korean-constructed, operational 600 MW coal-fired power plant in the Philippines. Using the Thermoflex software, nearly all design configurations’ heat rate outputs are simulated. Profitability is then optimized based on the resultant design configuration’s impact on revenue and CAPEX and OPEX costs. The simulation inputs included variables found to be most impactful on the steam generated power efficiency per existing literature. Lastly, the model includes an assessment of cost impacts among recent environmental regulations by incorporating carbon tax costs and a sensitivity analysis. The economic analysis model discussed in this paper is non-existent in current literature and will aid the power-plant project investment industry through their project feasibility analyses.

Optimizing System-on-Film (SOF) Design Using Finite Element Analysis

2011 ◽  
Author(s):  
Vikram Venkatadri ◽  
Mark Downey ◽  
Xiaojie Xue ◽  
Dipak Sengupta ◽  
Daryl Santos ◽  
...  
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Flip Chip ◽  
Flexible Substrate ◽  
High Density ◽  
Design Solution ◽  
Design Parameters ◽  
Optimized Design ◽  
Element Analysis ◽  
Bonding Parameters

System-On-Film (SOF) module is a complex integration of a fine pitch high density die and surface mounted discrete devices on a polyimide (PI) film laminate. The die is connected to the film using a thermo-compression flip-chip bonding (TCB) process which is capable of providing a very high density interconnect at less than 50um pitch. Several design and bonding parameters have to be controlled in order to achieve a reliable bond between the Au bumps on the die and the Sn plated Cu traces on the PI film. In the current work, the TCB process is studied using Finite Element Analysis (FEA) to optimize the design parameters and assure proper process margins. The resultant forces acting on the bump-to-trace interfaces are quantified across the different potential geometrical combinations. Baseline simulations showed higher stresses on specific bump locations and stress gradients acting on the bumps along the different sides of the die. These observations were correlated to both the failures and near failures on the actual test vehicles. Further simulations were then utilized to optimize and navigate design tradeoffs at both the die and flexible substrate design levels for a more robust design solution. Construction analysis performed on parts built using optimized design parameters showed significant improvements and correlated well with the simulation results.

scholarly journals Simulation Technique of Kinematic Processes in the Vehicle Steering Linkage

2018 ◽  
Vol 7 (4.3) ◽  
pp. 120 ◽  
Author(s):  
Sergii Chernenko ◽  
Eduard Klimov ◽  
Andrii Chernish ◽  
Olexandr Pavlenko ◽  
Volodymyr Kukhar
Keyword(s):  
Three Dimensional ◽  
Simulation Technique ◽  
Design Parameters ◽  
Three Dimensional Model ◽  
Design Data ◽  
Power Characteristics ◽  
Left And Right ◽  
Turning Radius ◽  
The Impact ◽  
The Mathematical Model

The results of the investigation of the turning kinematics of the steerable wheels of the KrAZ-7634NE off-road vehicle with a wheel formula 8x8 and two front steer axles are given. The theoretical relations between the steer angles of the steerable wheels on the basis of the scheme of double-axle steering turning of the vehicle are shown. The mathematical model of flat four-bar vehicle steering linkage is developed, it determines the relation between the steering linkage left and right steering arms turning angles at any turning radius of the vehicle. KrAZ-7634HE steering three-dimensional model was created and simulation technique of its work was carried out using Creo software. It has been shown that the flat steering linkage model provides sufficient accuracy of calculations in analysis of turning kinematics. The design data can be used for any vehicles that have a similar steering linkage, they allow to analyze the impact of the vehicle design parameters on the turning kinematics and optimize them. Further study of the impact of the kingpin inclinations on the steering linkage kinematic and power characteristics are required.  

scholarly journals Automated Exploration of Design Solution Space Applying the Generative Design Approach

2019 ◽  
Vol 1 (1) ◽  
pp. 1085-1094 ◽  
Author(s):  
Haibing Li ◽  
Roland Lachmayer
Keyword(s):  
Solution Space ◽  
Complex Problem ◽  
Design Approach ◽  
Design Solution ◽  
Generative Design ◽  
Design Elements ◽  
Design Requirements ◽  
Design Solutions ◽  
Feasible Solutions

AbstractDesign is a complex problem-solving activity that transforms design restrictions and requirements into a set of constraints and explores the feasible solutions to satisfy those constraints. However, design solutions generated by traditional modeling approaches are hardly to deal with such constraints, particularly for the exploration of the possible design solution space to enhance the quality of the design outputs and confront the evolving design requirements. In this regard, the Generative Design Approach (GDA) is considered as an efficient method to explore a large design solution space by transforming the design problem into a configuration problem. Fundamentally, GDA explores and stores all the necessary knowledge through a design skeleton and a set of design elements. Thus, design solution space is easily explored by configuring variable design elements via iterative design processes. Further, the output model is not only a design solution but also a design concept that designers could manipulate to explore unconsidered design configurations. Finally, a crank creation as a running example confirmed that GDA provides concrete aids to enhance the diversity of design solutions.

scholarly journals An Automated Procedure for Assessing Local Reliability Index and Life-Cycle Cost of Alternative Girder Bridge Design Solutions

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Ilaria Venanzi ◽  
Riccardo Castellani ◽  
Laura Ierimonti ◽  
Filippo Ubertini
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Design Solution ◽  
Bridge Design ◽  
Limit States ◽  
Technical Standards ◽  
Local Character ◽  
Repair Costs ◽  
Design Solutions ◽  
Girder Bridge

Stakeholders of civil infrastructures have to usually choose among several design alternatives in order to select a final design representing the best trade-off between safety and economy, in a life-cycle perspective. In this framework, the paper proposes an automated procedure for the estimation of life-cycle repair costs of different bridge design solutions. The procedure provides the levels of safety locally guaranteed by the selected design solution and the related total life-cycle cost. The method is based on the finite element modeling of the bridge and uses design traffic models as suggested by international technical standards. Both the global behavior and the transversal cross section of the bridge are analyzed in order to provide local reliability indexes. Several parameters involved in the design, such as geometry and loads and materials’ characteristics, are considered as uncertain. Degradation models are adopted for steel carpentry and rebars. The application of the procedure to a road bridge case study shows its potential in providing local safety levels for different limit states over the entire lifetime of the bridge and the life-cycle cost of the infrastructure, highlighting the importance of the local character of the life-cycle cost analysis.

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