Process Integration and Design Optimization Ontologies for Next Generation Engineering

Rubber isolators are mounted between a cooling module and a carrier to isolate the car body from vibration due to the rotation of the cooling fan. The isolators should be durable against fatigue loads originating from fan rotation and road disturbance. Thus, the design of rubber isolators is required to maximize both vibration isolation and fatigue life. In this study, the shapes of the rubber isolators are optimally designed using a process integration and design optimization (PIDO) tool that integrates the various computer-aided engineering (CAE) tools necessary for vibration and fatigue analyses, automates the analysis procedure and optimizes the design solution. In this study, we use CAE models correlated to the experimental results. A regression-based sequential approximate optimizer incorporating Process Integration, Automation and Optimization (PIAnO), a commercial PIDO tool, is employed to handle numerically noisy responses with respect to the variation in design variables. Using the analysis and design procedure established in this study, we successfully obtained the optimal shapes of the rubber isolators in two different cooling modules; these shapes clearly have better vibration isolation capability and fatigue lives than those of the baseline designs used in industry.

Process Integration and Design Optimization (PIDO) tools, which can connect and automate a series of computational processes forming an executable workflow with automated data input, analysis execution, and output collection, have an abundance of potential early in the life cycle of a product, but the utilization of these tools and approaches in late-phase programs can be every bit as valuable. One could even argue that the use of these tools to quickly find root causes and optimize final solutions is even more important in the late phases of a program, as the costs at these phases are much higher. PIDO tools and approaches can automate design iterations, allowing more designs to be tested in a shorter amount of time, which can help form a better understanding of the response space, and can in turn help determine the critical parameters of the system. These critical parameters can then be used to lens design verification (DV) data by drawing engineers' focus to the critical relationships of the DV data in order to make statistical observation about these influential factors controlling the system’s response. Potentially, this could be used to find process solutions to product issues without requiring expensive late-phase design changes. This article shows how this very approach was used on a prototype catheter’s hemostasis assembly to troubleshoot a leakage issue prior to locking-in the production tooling design.

This study improved the roundness error of the side portion of a lead wire produced by rolling operations. In the conventional method, the side portion is cut after rolling. As an improvement, a side roller was designed for use after flat rolling to directly form the side portion of the lead wire to reduce the roundness error. A rolling analysis of lead wires was performed using LS-DYNA, which is a simulation program capable of analyzing the dynamic behavior of the material. Finite element modeling of the lead wire was carried out, and the change of the cross section was observed after the wire rolling process. The shape of the side roller was optimized to reduce the roundness error. The angle of the side roller, the installation position, and the shape radius were selected as the design variables. PIAnO (Process Integration, Automation, and Optimization), a commercial PIDO (Process Integration and Design Optimization) tool, was used for the optimum design of the side roller, and the results confirmed that the roundness error was reduced.

A study on the simulation-based installation shape design method of steel lazy wave riser (SLWR) in ultra deepwater depth

최근 이동통신 가입자의 증가로 인해 기지국의 수요도 증가하게 되었다. 하지만 기지국 설치 장소의 부족으로 인해 이동통신모듈의 크기가 소형화 되어야 할 필요성이 생겼다. 이동통신모듈의 소형화를 위해서는 모듈 겉면에 부착된 히트싱크의 크기가 소형화 되어야 한다. 또한 모듈의 열적 안정성을 보장하기 위해 설치된 전자부품의 온도가 허용온도보다 낮아야 한다. 이를 위해 상용 PIDO(Process Integration and Design Optimization) 툴인 PIAnO와 전산유체역학 프로그램인 FLOTHERM을 사용하여 전자부품의 온도를 허용온도보다 낮게 유지시키면서 히트싱크의 부피를 최소화하였다. 그 결과, 이동통신 모듈에 설치된 전자부품의 허용온도를 만족하면서 모듈의 부피를 41.9% 감소시킬 수 있었다.

Computational design optimization has been widely considered a promising technique to help designers address complex design challenges regarding building performance. However, a barrier to applying it to real-world projects is the difficulty in incorporating functional requirements and constraints into the design optimization process. In response, this study presents an optimization-assisted design approach for early-stage architectural design. The approach combines the application of EvoMass, an integrated building mass design generation and optimization tool, and the soft constraint strategy. The combination allows designers to integrate various design requirements and constraints into the optimization, which makes it produce results with higher practical values. To demonstrate the efficacy of the approach, two case studies are presented, which show that the application of optimization facilitates designers to better formulate the design problem and rapidly investigate different design directions for exploration and information extraction.

Preliminary designs with deterministic approaches used to solve the uncertainty related information from a ship design results preliminary design of conventional. In order to overcome the imbalance of optimization in the design process, the preliminary design is equipped with a method Collaborative Optimization (CO), which is part of the Multidisciplinary Design Optimization (MDO). Process design optimization in preliminary design with a deterministic approach based on the value subsystem optimization required by the vessel (d). Ship design requirements of this study are deadweigth requirements, volume cargo requirements and speed/resistance requirements. The preliminary design hull form general cargo for shipping Jakarta to Makassar by using deterministic approach is expected to provide an alternative principal dimension and design variations of the optimal hull form based on information dock and owner reqiurement. In addition, this study is also expected to be an alternative method used in the preliminary process design of modern ships because in the preliminary designs have efforts to optimize an element ship design.

WebBlow: a Web/agent-based multidisciplinary design optimization environment

Optimization of ethylene process design

Many traditional process improvement techniques focus on process design optimization without accounting for interactions between the process structure and operational policies used in during the process execution. This paper elaborates a mathematical programming model for simultaneous optimization of the process structure and process execution policies. The process optimization is considered as a part of multi-stage process improvement initiative what includes identification of process improvement options and their quantitative evaluation. The process design optimization is domain independent while process execution policies are problem area specific. In this paper, capacity planning policies for manufacturing processes are considered. The model is evaluated using an educational case study on manufacturing process optimization with increasing customer demand.

ABSTRACTTo enable swift integration of process modules into manufacturable process flows; three components – individual process modules, their interactions and their variability-must be understood well. At dimensions ≤ 0.25 μm, this understanding is especially critical, and also quite challenging. We present here an approach to address this challenge by joint process design, using two key modules-salicide and source/drain-as an example. Together, these modules impact the silicide-to-diffusion contact resistance, (Rc), and the gate sheet resistance (Rs); which, in turn, significantly affect transistor series resistance and circuit delays respectively. We have built a model to help provide insight into the underlying physical mechanisms, and to help provide a quantitative framework for optimizing performance and variability. Rc, depends critically on the doping concentration immediately adjacent to the silicide, and this concentration is determined by the combined effect of silicide processing and the two-dimensional source/drain dopant profile. Rs depends on the thickness and phase of the silicide film formed, which, in turn, depend on the salicide process variables as well as the source/drain doping concentration, because both affect the silicide growth kinetics. Process conditions favoring Rs. and Rc are opposite to each other: thicker silicide films and higher thermal budgets help in the phase-transformation to the low-resistivity C54 phase and improve Rs but they increase dopant redistribution and worsen Rc. Optimal process design can improve the transistor drive current (Id) by ≈5%, and circuit performance, as measured by the figure-of-merit (FOM) by ≈ 4%. This improvement is significant, and an added benefit of this approach is that other transistor characteristics such as effective channel length, off-current, substrate current, etc. remain unchanged. In summary, we have demonstrated that by joint process design and integration of the salicide and source/drain modules, insight can be gained into the underlying physical mechanisms, and device and circuit performance can be improved significantly.

In order to attain the true integration of computer-aided design and computer-aided manufacturing not only is a smooth flow of information required, but also decision making for both product design and process design must be synthesized. In this paper an integrated design process is proposed in which decisions concerning both product design and process design are simultaneously made. According to the proposed design procedures, an integrated optimization problem is formulated. This optimization is expressed as a multiobjective optimization problem which produces many Pareto optimum solution sets corresponding to combinations of materials used for parts. The algorithm for solving the problem is also presented. The proposed method is applied to designing a cylindrical co-ordinate robot, thereby demonstrating the effectiveness of conducting a simultaneous process through product design and process design.

Implications of Service-related Business Models on Product Development Processes

A dynamic industrial design optimization requires high-quality optimization algorithms as well as adaptive representations to find the global solution for a given problem. For adapting the representation to changing environments or to new input we utilize the concept of evolvability, which in our interpretation consists of three criteria: variability, regularity, and improvement potential, where regularity and improvement potential characterize conflicting goals between exploration and exploitation. Our goal is the efficient adaptation of the representation according to a given preference weight between regularity and improvement potential. We propose a combination of two heuristics, Lloyd sampling and orthogonal least squares sampling, to initialize the adaptation process for a given preference weight. We show that this initialization improves the convergence speed of the adaptation process as well as the resulting fitness. We then realize a stepwise design optimization procedure by alternating the adaptation of the representation with optimization of the design. During the design optimization process we extract information which we exploit in the next adaptation phase. We show that an intermediate preference weight, balancing between regularity and improvement potential, allows to exploit this information and is robust to erroneous initial information. Thereby, we increase the performance of the whole design optimization process.

A framework for the integration of solvent and process design with controllability assessment