An Innovative Channel Design of the Freezing Chucker

Author(s):  
Rong-Yuan Jou

A freezing chucker is a clamp-less mechanism of fixture for easy broken egg-shell, clay, and other ferrous/nonferrous materials. Typical structure of this mechanism includes a top plate for freezing workpieces, a body with specially designed channels for the coolant flows, and a bottom plate to fasten on the table of other machine. Just by a small amount of liquids on the top surface and by rapidly cool down to 253K, parts can be frozen stationary on the top plate surface and can conduct precision machining on it. There are four steps to design a new freeze chucker by the engineering design process: planning and clarifying the task; conceptual design; embodiment design; detailed design. Some useful tools from the Quality Function Deployment (QFD) technique and the Theory of Inventive Problem Solving (TRIZ) method are used in this design process. Eight concept designs are generated by the conceptual design work and the final design of channel with transverse ribs is selected by decision matrix technique during embodiment design and detailed design stage. This final design is evaluated by numerical modeling of the COMSOL MULTIPHYSICS 3.2 finite-element based package. Performances such as the temperature distribution of top-plate surface temperature and the lowest temperature of a freezing chucker are shown. Numerical results show the success of the innovative channel design by this inventive design process using TRIZ methodology.

2019 ◽  
Vol 141 (10) ◽  
Author(s):  
Yi Xiong ◽  
Pham Luu Trung Duong ◽  
Dong Wang ◽  
Sang-In Park ◽  
Qi Ge ◽  
...  

Recently, design for additive manufacturing has been proposed to maximize product performance through the rational and integrated design of the product, its materials, and their manufacturing processes. Searching design solutions in such a multidimensional design space is a challenging task. Notably, no existing design support method is both rapid and tailored to the design process. In this study, we propose a holistic approach that applies data-driven methods in design search and optimization at successive stages of a design process. More specifically, a two-step surrogate model-based design method is proposed for the embodiment and detailed design stages. The Bayesian network classifier is used as the reasoning framework to explore the design space in the embodiment design stage, while the Gaussian process regression model is used as the evaluation function for an optimization method to exploit the design space in detailed design. These models are constructed based on one dataset that is created by the Latin hypercube sampling method and then refined by the Markov Chain Monte Carlo sampling method. This cost-effective data-driven approach is demonstrated in the design of a customized ankle brace that has a tunable mechanical performance by using a highly stretchable design concept with tailored stiffnesses.


Author(s):  
Manish Verma ◽  
Hui Dong ◽  
William H. Wood

Design for Manufacture (DfM) tends to explore only a small space of possible designs toward improving manufacturability. By focusing primarily on detailed geometry, DfM tends to recommend incremental changes. This paper presents a methodology that begins at the conceptual design stage, applying functional modeling to the generation of design configurations. These functional abstractions are merged with real part geometry toward generating potentially manufacturable design skeletons. The direct connection from function to manufacturable form afforded by this method allows the designer to make better-informed design decisions at the earliest stages of the design process.


Author(s):  
Katsuya Mogami ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki ◽  
Masataka Yoshimura ◽  
Nozomu Kogiso

Since decision-making at the conceptual design stage critically affects final design solutions at the detailed design stage, conceptual design support techniques are practically mandatory if the most efficient realization of optimal designs is desired. Topology optimization methods using discrete elements such as frame elements enable a useful understanding of the underlying mechanics principles of products, however the possibility of changing prior assumptions concerning utilization environments exists since the detailed design process starts after the completion of conceptual design decision-making. In order to avoid product performance reductions due to such later-stage environmental changes, this paper discusses a reliability-based topology optimization method that can secure specified design goals even in the face of environmental factor uncertainty. This method can optimize mechanical structures with respect to two principal characteristics, namely structural stiffness and eigen-frequency. Several examples are provided to illustrate the utility of the method presented here for mechanical design engineers.


2009 ◽  
Vol 131 (7) ◽  
Author(s):  
Zhaofeng Huang ◽  
Yan Jin

It has been recognized that design-for-reliability (DFR) during the conceptual design stage is very challenging. There are several gaps and deficiencies hindering the DFR implementation. The first gap is due to the disconnection between the output of the conceptual design and reliability parameters needed for the reliability modeling. The second gap is between the knowledge available during the conceptual design and the information needed for reliability analysis. The state of the art design-for-reliability research and implementation are primarily based on the traditional reliability stress and strength interference theory. The research to date has mainly focused on the embodiment design-for-reliability, since they take embodiment design data as inputs and derive reliability measures of the product as results. On the other hand, the conceptual design, in general, and functional design in specific are usually nonanalytical and nonquantitative and result in little information immediately useful for a detailed reliability analysis. Our research aims to address these gaps and deficiencies and to build a bridge between the reliability research and the conceptual design research in order to realize conceptual design-for-reliability. In this paper, we first review the state of research and practice in the fields of reliability and conceptual design. Building on the previous research, we extend the traditional reliability stress and strength interference theory and develop a conceptual stress and conceptual strength interference theory (CSCSIT) that parametrizes the conceptual design space by introducing reliability related parameters into functional design. Based on CSCSIT, a practical analysis framework is proposed to support functional design-for-reliability. A functional design example is presented to demonstrate the effectiveness of CSCSIT and the proposed framework.


1985 ◽  
Vol 29 (7) ◽  
pp. 635-639 ◽  
Author(s):  
Gilbert G. Kuperman ◽  
Harry G. Armstrong ◽  
Denise L. Wilson

This paper presents the methodology and supporting rationale for the investigation of operator workload in the context of an enhancement to an existing weapon system. The methodology is applicable early in the conceptual design process and forms the baseline data from which final design validation may be developed. The Subjective Workload Assessment Technique (SWAT), used projectively, forms the kernel of the methodology. A strategy for building part-task through full-mission simulations, at increasing levels of face and content validity, is presented in the context of the weapon system development process.


2015 ◽  
Vol 15 (1) ◽  
pp. 24-41 ◽  
Author(s):  
Sepehr Abrishami ◽  
Jack Goulding ◽  
Farzad Pour Rahimian ◽  
Abdul Ganah

Purpose – The purpose of this paper is to find optimal solutions for conceptual design automation, which can be integrated with Building Information Modelling (BIM) support for construction automation. Problems relating ostensibly to failures in computational support for the conceptual design stage are well-documented in extant literature. These failures are multifarious and significant, with several deficiencies being acknowledged in the Architecture, Engineering, and Construction (AEC) industry. Whilst acknowledging this, extant literature has highlighted the importance of computational design in the AEC industry; and failures in this area include the need to strengthen the congruent links and support mechanisms in order to exploit the opportunities presented by new computational design methods. Given this, it is postulated that the application of generative design could enhance the design experience by assisting designers with the iterative generation of alternatives and parameterisation (change management) processes. Moreover, as BIM applications are increasingly providing comprehensive support for modelling and management, then additional synergies could be examined for further exploitation. Design/methodology/approach – This paper focusses on the potential for developing an interactive BIM environment that purposefully adopts generative design as a method of computational design for the early design stages. This research facilitates the automation of the conceptual architectural design process, using BIM as the central conduit for enhancing the integration of the whole building design process (including design interfaces). This approach is designed to improve designers’ cognition and collaboration during the conceptual architectural design process. Findings – This paper evaluates the existing methods and decision support mechanisms, and it introduces the potential of combining different concepts into a single environment (generative design/BIM). Originality/value – This research is novel, in that it critically appraises virtual generative workspaces using BIM as the central conduit. The outcome and intervention of this research forms a theoretical basis for the development of a “proof of concept” prototype, which actively engages generative design into a single dynamic BIM environment to support the early conceptual design process.


2016 ◽  
Vol 138 (11) ◽  
Author(s):  
Nathaniel B. Price ◽  
Nam-Ho Kim ◽  
Raphael T. Haftka ◽  
Mathieu Balesdent ◽  
Sébastien Defoort ◽  
...  

Early in the design process, there is often mixed epistemic model uncertainty and aleatory parameter uncertainty. Later in the design process, the results of high-fidelity simulations or experiments will reduce epistemic model uncertainty and may trigger a redesign process. Redesign is undesirable because it is associated with costs and delays; however, it is also an opportunity to correct a dangerous design or possibly improve design performance. In this study, we propose a margin-based design/redesign method where the design is optimized deterministically, but the margins are selected probabilistically. The final design is an epistemic random variable (i.e., it is unknown at the initial design stage) and the margins are optimized to control the epistemic uncertainty in the final design, design performance, and probability of failure. The method allows for the tradeoff between expected final design performance and probability of redesign while ensuring reliability with respect to mixed uncertainties. The method is demonstrated on a simple bar problem and then on an engine design problem. The examples are used to investigate the dilemma of whether to start with a higher margin and redesign if the test later in the design process reveals the design to be too conservative, or to start with a lower margin and redesign if the test reveals the design to be unsafe. In the examples in this study, it is found that this decision is related to the variance of the uncertainty in the high-fidelity model relative to the variance of the uncertainty in the low-fidelity model.


2018 ◽  
Vol 3 (12) ◽  
pp. 43
Author(s):  
Fatimah Mohamad Adi ◽  
Khairul Anwar Mohamed Khaidzir ◽  
Ismail Said

This study provides insight into the role of experience in facilitating conceptualisation process to enable students to harness relevant problems-solving skills. One of the key strategies of the current study is to analyse how students transform their ideas from abstract to physical form through the conceptualisation process within the studio learning environment. Two aspects were considered (1) the factors that influence the student's actions in designing, and (2) the role of critique in stimulating the student's conceptual design towards final design stage. Evidences were gathered from students' dynamic cognitive interactions with knowledge and experience as transpired through the studio environment.Keywords: Conceptualisation, conceptual design process, reflective knowledgeeISSN 2398-4295 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.


Author(s):  
Damien Motte ◽  
Per-Erik Andersson ◽  
Robert Bjärnemo

Most methods that guide the designer through the later phases of the design process are general in nature, and it is up to the designer to organize the design work using the tools and techniques available. This process also relies greatly on experience, which is quite a challenge for students, who are mostly novices in the area. In a comparative study, the evolution of the experience and skills acquired by the students in performing design tasks during the embodiment design and detail design phases has been analyzed. The re-sults indicate the main directions for improvement in teaching the later phases of the mechanical engineer-ing design process.


2010 ◽  
Vol 26-28 ◽  
pp. 625-636 ◽  
Author(s):  
Xiao Chuan Chen ◽  
Xiao Xia Lai ◽  
John. K. Gershenson

With the global financial crisis happened, companies and investors pay more attention to development expense. Development costs mainly include design cost at the design stage. We analyze the design process and extract many design factors in order to estimate design cost at the conceptual and embodiment design stage. A number of process-based design features that impact the design cost are considered. These design factors include: 1) the number of performances and constraints, 2) sub-functions level and relationships, and 3) solutions at the conceptual design stage. At the embodiment of the design stage the design factors include: 1) the number of parts and their relationships, 2) the types of materials, 3) load resources, and 4) the number and types of tolerances. We use relative cost to estimate design cost by comparing the number of design factors among designs. To demonstrate the relative design cost estimation in practice, Kodak single-use cameras are used as example products. Use of these methods proves beneficial in estimate design cost in the design process.


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