Design Method of Spring Balance Mechanism Through Derivation of General Solution

2019 ◽  
Vol 31 (2) ◽  
pp. 305-316 ◽  
Author(s):  
Kazuki Kaneda ◽  
Hirokazu Yamagata ◽  
Toshio Morita ◽  
◽  
Keyword(s):  
General Solution ◽  
Conventional Method ◽  
Design Method ◽  
Solution Space ◽  
Design Solution ◽  
Trial And Error ◽  
Mechanical Device ◽  
Spring Balance ◽  
Design Solutions ◽  
Balance Mechanism

The present study set out to devise a means of designing a spring-balance mechanism (hereinafter, a SBM) based on a general solution. The goal was to apply a general solution as a guideline for identifying the optimum design solution. A SBM is used to reduce the actuator output in the design of a mechanical device. As a result, the effect of gravity can be offset and energy-saving in operation can be realized. To date, however, SBMs have been designed on a trial and error basis, with a reliance on the designer’s knowledge or experience. Thus, in some instances, it may not be possible to identify a design solution that should, in theory, be achievable. To overcome this issue, this study examined the application of a general solution to the design of a SBM. Such a general solution would identify a solution space including viable design solutions. Subsequently, once a design that satisfies the general solution had been identified, a search could be made of all the design solutions within the solution space. First, the sequence whereby the general solution is used to identify a SBM design that satisfies the general solution, thus providing a guideline for the search action, is determined. Herein, the method used to identify this initial SBM design is presented. The devised method is based on the description of an energy-conservation formula that does not involve any trial and error. The proposed method incorporates a conventional method into the design solution, which can be derived when the conventional method cannot identify a design solution. As a result, a design method using a general solution for the design of an SBM is realized.

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.

A Natural Language to Component Term Methodology: Towards a Form Based Concept Generation Tool

2009 ◽  
Author(s):  
Matt R. Bohm ◽  
Robert B. Stone
Keyword(s):  
Artificial Intelligence ◽  
Natural Language ◽  
Design Space ◽  
Design Method ◽  
Optimal Solution ◽  
Solution Space ◽  
Design Solution ◽  
Concept Generation ◽  
Language Interpretation ◽  
Interpretation Algorithm

Over the last few decades design researchers have put forward theories and proposed methodologies that increase the chance that a design team will reliably arrive at the optimal solution to a given design problem. Studies, however, bear out that theories and methodologies alone will not guarantee an optimal or even good design solution. Instead, a breadth of knowledge across multiple engineering domains and the time and tools to thoroughly evaluate the design space are as important as any prescriptive design method. This work presents one of the underlying engineering technologies needed to leverage artificial intelligence approaches to thoroughly search the design space and synthesize concept solutions. Artificial intelligence methods are employed to generate a natural language to formal component terms thesaurus as part of a novel form-initiated concept generation approach. With this fundamental natural language interpretation algorithm, designers may now suggest an initial solution to a problem, expressed in everyday terms, and then rely on a machine to abstract the underlying functionality and conduct a thorough search of the solution space.

A Simple Extensometer for Tensile Testing of Polymers

1958 ◽  
Vol 31 (3) ◽  
pp. 673-679
Author(s):  
A. E. Eagles ◽  
A. R. Payne
Keyword(s):  
Conventional Method ◽  
Tensile Testing ◽  
Considerable Increase ◽  
Mechanical Device

Abstract The prototype extensometer, which has now been in constant use for over a year, gives satisfactory results which compare favorably with those of the conventional method. The use of this extensometer, which is a simple mechanical device, robust and reliable in operation, removes the last obstacle from autographic recording of tests using dumbbell specimens, thus permitting a considerable increase in speed of tensile testing.

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.

A Generalized Performance Sensitivity Synthesis Methodology for Four-Bar Mechanisms

1992 ◽  
Author(s):  
Ming-Yih Lee ◽  
Arthur G. Erdman ◽  
Salaheddine Faik
Keyword(s):  
Solution Space ◽  
Design Solution ◽  
Link Length ◽  
Performance Sensitivity ◽  
Closed Chain ◽  
Synthesis Methodology ◽  
Position Synthesis ◽  
The Relationship ◽  
Accuracy Performance ◽  
Sensitivity Maps

Abstract A generalized accuracy performance synthesis methodology for planar closed chain mechanisms is proposed. The relationship between the sensitivity to variations of link lengths and the location of the moving pivots of four-link mechanisms is investigated for the particular objective of three and four position synthesis. In the three design positions case, sensitivity maps with isosensitivity curves plotted in the design solution space allow the designer to synthesize a planar mechanism with desired sensitivity value or to optimize sensitivity from a set of acceptable design solutions. In the case of four design positions, segments of the Burmester design curves that exhibit specified sensitivity to link length tolerance are identified. A performance sensitivity criterion is used as a convenient and a useful way of discriminating between many possible solutions to a given synthesis problem.

CAFixD: A Case-Based Reasoning Fixture Design Method. Framework and Indexing Mechanisms

2005 ◽  
Vol 6 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Iain M. Boyle ◽  
Kevin Rong ◽  
David C. Brown
Keyword(s):  
Design Method ◽  
Critical Issue ◽  
Design Solution ◽  
Case Based Reasoning ◽  
Fixture Design ◽  
Functional Requirements ◽  
Rigorous Approach ◽  
Machining Operations ◽  
Case Based ◽  
Individual Requirement

Fixtures accurately locate and secure a part during machining operations. Various computer-aided fixture design (CAFD) methods have been developed to reduce design costs associated with fixturing. One approach uses a case-based reasoning (CBR) method where relevant design experience is retrieved from a design library and adapted to provide a new design solution. Indexing design cases is a critical issue in CBR, and CBR systems can suffer from an inability to distinguish between cases if indexing is inadequate. This paper presents CAFixD, a CAFD methodology that adopts a rigorous approach to defining indexing attributes based upon axiomatic design functional requirement decomposition. A design requirement is decomposed in terms of functional requirements, physical solutions are retrieved and adapted for each individual requirement, and the design is then reconstituted to form a complete fixture design. This paper presents the CAFixD framework and operation, and discusses in detail the indexing mechanisms used.

scholarly journals A Smart Wing Rib Structure Suitable for Design for Additive Manufacturing (DfAM) Process

2021 ◽  
pp. 1-21
Author(s):  
Ramona Dogea ◽  
◽  
Xiu T Yan ◽  
Richard Millar ◽  
◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Performance Monitoring ◽  
Equivalent Stress ◽  
Solution Space ◽  
Design Solution ◽  
Smart Devices ◽  
Design For Additive Manufacturing ◽  
Wing Structures ◽  
Rib Structure ◽  
Stress And Deformation

Additive manufacturing has been adopted widely across various industries for producing parts mainly due to their ability to create complex geometries, eliminate material wastage and enable faster production rate, among others. Additive manufacturing has also increased design solution space by enabling exploration of mechatronic solutions for mechanical structures. This includes the integration of smart devices into wing structures to achieve a datadriven predictive maintenance-based system. For this, there is still the need to continuously explore various ways of integrating sensory capability into a mechanical structure during the manufacturing processes to ensure improvement and reliability of aircraft components. The scope of this paper was to analyse different wing rib geometries and the influence of embedding sensory capability via design for additive manufacturing process. In this work, three wing rib geometries with cut-outs and for sensory placement were designed and analysed to estimate their equivalent stress and deformation when such sensory locations are introduced. The results confirm the idea that it is feasible to introduce holding cavities for structural performance monitoring sensors without compromising the structural design requirements. The results also show that deformation and stress are highly dependent on the rib thickness and the insertion of sensory locations

scholarly journals Drainage and watering systems on even lands with the use of frontal and frontal-circular sprinklers

2021 ◽  
Author(s):  
A. L. Kozhanov ◽  
◽  
O. V. Voyevodin ◽  
Keyword(s):  
Land Use ◽  
Design Method ◽  
Water Source ◽  
Humid Zone ◽  
Excess Water ◽  
Reduce Energy Consumption ◽  
Design Solutions ◽  
Effective Use ◽  
Intake Water ◽  
System Water

Purpose: research and development of design solutions for drainage and watering systems using linear and frontal-circular movement sprinkling machines for the effective use of system water resources when draining and moistening reclaimed lands in non-sloping (low-slope) areas and with a slight slope. Materials and methods. During the research, the well-known design solutions of drainage and watering, irrigation and water circulation systems of various scientists were analyzed. In the course of analysis of constructive solutions and methods of movement, analytical, comparative and logical methods were used. When developing (improving) design solutions, the design method was used. Results. During the research, it was found that in the humid zone, due to the decrease in irrigation norms, there is a possibility of increasing the seasonal load of sprinklers. Based on the results of studies of the principles of moving sprinkler machines and currently used design solutions in order to reduce energy consumption and increase the land use coefficient, three design solutions have been proposed for reclaimed lands with different slopes. It is proposed to use frontal and frontal-circular sprinklers in drainage and watering systems. Humidification in these solutions is carried out by accumulated drainage runoff with the possibility of discharging its excess water into a water intake-water source, as well as, additional withdrawal from it in case of necessity. Conclusions. As a result of the research, the constructive solutions for drainage and watering systems have been proposed using frontal-circular and frontal sprinklers on non-slope (low-slope) reclaimed lands, as well as those with a slope, which make it possible to reduce the number of sprinklers due to reduced irrigation norms and the location of the combined drainage-watering and watering networks.

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.

scholarly journals A Globally Optimal Robust Design Method for Complex Systems

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-25
Author(s):  
Yue Chen ◽  
Jian Shi ◽  
Xiao-jian Yi
Keyword(s):  
Complex Systems ◽  
Design Parameter ◽  
Design Method ◽  
Solution Space ◽  
Maximum Size ◽  
Design Criterion ◽  
Design Parameters ◽  
Engineering System ◽  
Output Performance ◽  
Maximum Solution

The uncertainty of the engineering system increases with the growing complexity of the engineering system; therefore, the tolerance to the uncertainty is essential. In the design phase, the output performance should reach the design criterion, even under large variations of design parameters. The tolerance to design parameter variations may be measured by the size of a solution space in which the output performance is guaranteed to deliver the required performance. In order to decouple dimensions, a maximum solution hyperbox, expressed by intervals with respect to each design parameter, is sought. The proposed approach combines the metaheuristic algorithm with the DIRECT algorithm where the former is used to seek the maximum size of hyperbox, and the latter is used as a checking technique that guarantees the obtained hyperbox is indeed a solution hyperbox. There are three advantages of the proposed approach. First, it is a global search and has a considerable high possibility to produce the globally maximum solution hyperbox. Second, it can be used for both analytically known and black-box performance functions. Third, it guarantees that any point selected within the obtained hyperbox satisfies the performance criterion as long as the performance function is continuous. Furthermore, the proposed approach is illustrated by numerical examples and real examples of complex systems. Results show that the proposed approach outperforms the GHZ and CES-IA methods in the literature.

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