Automated design tool for examining microelectronic packaging design alternatives

Author(s):  
Siew-Wei Chin ◽  
S.D. Rajan ◽  
B.K. Nagaraj ◽  
M. Mahalingam
Author(s):  
Siew-Wei Chin ◽  
Subramaniam D. Rajan ◽  
Ben K. Nagaraj ◽  
Mali Mahalingam

Abstract Microelectronic packaging design issues have been given greater attention mainly because the performance, reliability and cost of semiconductor chips are increasingly dictated by the choice and design of the package. The task of integrating the requirements imposed by different disciplines such as mechanical and thermal issues in an automated design tool, is discussed in this paper. Finite element analysis and nonlinear programming techniques are used in an iterative fashion to progress from an initial design concept to a design that satisfies all design requirements or one that is superior to other design alternatives. Two packaging design examples serve to illustrate the functionalities of the automated design optimization tool.


1992 ◽  
Vol 114 (4) ◽  
pp. 461-466 ◽  
Author(s):  
S. D. Rajan ◽  
Ben Nagaraj ◽  
Mali Mahalingam

Shape optimal design methodology has been used as a design tool in the automotive and aerospace industries for quite some time now. In the present work the hybrid natural shape optimal design approach is used along with a nonlinear programming (NLP) technique to find the optimal shapes of electronic packaging components. The design problems are formulated as min-max problems and linear and materially nonlinear finite element analyses provide the function values. The applicability of the developed methodology is illustrated using a design example that deals with the packaging design of a plastic pad array carrier digital package. The results indicate that the methodology can be used either as an effective way of evaluating different design alternatives or refining existing designs.


Author(s):  
Lihong Zhang ◽  
U. Kleine ◽  
Yingtao Jiang
Keyword(s):  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Mykola Dimura ◽  
Thomas-Otavio Peulen ◽  
Hugo Sanabria ◽  
Dmitro Rodnin ◽  
Katherina Hemmen ◽  
...  

Abstract FRET experiments can provide state-specific structural information of complex dynamic biomolecular assemblies. However, to overcome the sparsity of FRET experiments, they need to be combined with computer simulations. We introduce a program suite with (i) an automated design tool for FRET experiments, which determines how many and which FRET pairs should be used to minimize the uncertainty and maximize the accuracy of an integrative structure, (ii) an efficient approach for FRET-assisted coarse-grained structural modeling, and all-atom molecular dynamics simulations-based refinement, and (iii) a quantitative quality estimate for judging the accuracy of FRET-derived structures as opposed to precision. We benchmark our tools against simulated and experimental data of proteins with multiple conformational states and demonstrate an accuracy of ~3 Å RMSDCα against X-ray structures for sets of 15 to 23 FRET pairs. Free and open-source software for the introduced workflow is available at https://github.com/Fluorescence-Tools. A web server for FRET-assisted structural modeling of proteins is available at http://nmsim.de.


Author(s):  
Cyril Picard ◽  
Jürg Schiffmann

Abstract Automated design tools are seldom used in industry. Their potential, however, is high, especially in companies mostly active in variant design, where custom tools could help cut down development time in the early stages. The design of geared electro-mechanical actuators for the automotive industry is such a case. These actuators are simple examples of coupled multi-disciplinary systems that can be hard to design, since they need to follow strict specifications in terms of performance and packaging. This paper presents an automated design and optimization tool tailored for such systems based on an integrated modeling approach, multi-objective optimization and an interactive reporting tool. The focus is set on the impact of system-level constraints on the usability by industry of the generated designs. In two case studies, the tool is able to find competitive actuator candidates that are cheaper (−3.6% and −11%) and more compact than similar existing products in less than an hour on a state-of-the-art laptop computer. More powerful options or actuators using different technologies have also been proposed. Compared to optimizations done without system-level constraints, the generated actuators are immediately usable by engineers to get accurate insights into the design problem and promote informed decision-making.


Author(s):  
Nícolas Mazzola ◽  
Claire I.G.L. Sarantopoulos

1961 ◽  
Vol 5 (2) ◽  
pp. 114-127 ◽  
Author(s):  
N. Schuster ◽  
W. Reimann
Keyword(s):  

2019 ◽  
Vol 111 ◽  
pp. 03057
Author(s):  
Boggarm Setty ◽  
James Woods

During the 1970s, the Energy Utilization Index (EUI) was introduced in terms of the annual rate of energy used per unit of floor area in site-specific buildings. It indicates energy but not total resource use effectiveness of design alternatives compared to baseline values (i.e., targets). Because of increasing concerns about indoor and outdoor emissions from carbon-based products and processes, an analogous “Carbon Index” (CI) is here introduced as a cradle-tograve design tool for evaluating the performance of design alternatives in terms of carbon emitted throughout the five stages of a building’s lifespan: siting, design, construction, operations, and demolition/recycling. This CI is expressed as equivalent mass of CO2 per unit floor area (CO2e). At each stage, this CI is determined as the sum-of-products of two factors: 1) “Primary Factors” (PF), scalars that are defined and quantified by the designer; and 2) “Carbon Impact Factors” (CIF), which are standardized 2x1 matrices that characterize the PFs in terms of “embodied” CO2e emissions in the materials, assemblies, and equipment that are installed in the building, and as CO2e emissions that are released during the “operations” of the building. This design tool is posited to foster more accurate calculations of carbon emissions for design alternatives.


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