Advanced simulation in design (original) (raw)
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Computational Materials Design
Advances in chemical and materials engineering book series, 2016
The chapter primarily deals with brief description of different methods of materials modeling which utilizes the scientific theories in different length scales. It also gives an account of the available tools for situations where data driven models are required. Utilization of imprecise knowledge of a materials system for developing mathematical models is also discussed. A brief account of the use of optimization techniques for designing materials is discussed here.
Simulation Foundations, Methods and Applications, 2017
Engineers, mathematicians, and scientists were always interested in numerical solutions of real-world problems. The ultimate objective within nearly all engineering projects is to reach a functional design without violating any of the performance, cost, time, and safety constraints while optimizing the design with respect to one of these metrics. A good mathematical model is at the heart of each powerful engineering simulation being a key component in the design process. In this chapter, we review role of simulation in the engineering process, the historical developments of different approaches, in particular simulation of machinery and continuum problems which refers basically to the numerical solution of a set of differential equations with different initial/boundary conditions. Then, an overview of well-known methods to conduct continuum based simulations within solid mechanics, fluid mechanics and electromagnetic is given. These methods include FEM, FDM, FVM, BEM, and meshless methods. Also, a summary of multi-scale and multi-physics-based approaches are given with various examples. With constantly increasing demands of the modern age challenging the engineering development process, the future of simulations in the field hold great promise possibly with the inclusion of topics from other emerging fields. As technology matures and the quest for multi-functional systems with much higher performance increases, the complexity of problems that demand numerical methods also increases. As a result, large-scale effective computing continues to evolve allowing for efficient and practical performance evaluation and novel designs, hence the enhancement of our thorough understanding of the physics within highly complex systems.
Computational materials design and engineering
Materials Science and Technology
Computational materials design integrates targeted materials process-structure and structureproperty models in systems frameworks to meet specific engineering needs. Design inherently consists of many competing requirements that require judicious decisions regarding key tradeoffs. The goal of computational materials design is to apply the best scientific understanding to facilitate decisions regarding the optimal tradeoffs that meet desired needs in the most time and resource efficient manner. Mechanistic materials design models require adequate fidelity to determine the favourability of one design solution over another but also the ability to be extrapolated over large parameter space to search for design optima in unexplored terrain. Design processes must not only efficiently find optimal solutions, but quickly identify failures. More broadly, materials design can only be as successful as the ability to identify the correct requirements for an application, and those requirements must address not only performance but also qualification hurdles including prediction of manufacturing variation.
Applications of computer simulation to materials research
1979
The applications of computer simulation in materials research are wide and varied. In this paper emphasis is placed on the simulation of microstructures. Simulation has helped us follow the evolution of microstructure on a scale as revealed by the optical microscope. In transmission electron microscopy the matching of simulated and experimental micrographs makes unambiguous characterisation of dislocations possible. In field-ion microscopy, to which the Varanasi group has contributed significantly, the theory of contrast has been pursued primarily with the help of simulated patterns.
In this paper we outline an interdisciplinary collaborative approach to problem solving that can be characterised as performative as both the goals and solutions develop over time through an open-ended process of trial-and-error. We describe two projects where this methodology has been successfully applied. We first give an overview of the CELL project where the performative approach led to a significant change in the way that scientist Neil Theise investigated stem cells. The success of this project directly led to the work which is the main focus of this paper: the design of Net Work, an interactive artwork that consists of a grid of autonomous buoys that emit different coloured light in response to the environment and the state of neighbouring buoys. We describe our performative approach to building the Net Work prototype and describe in detail its control system which is based on Ashby’s homeostat model. The paper concludes with a short discussion of some of the benefits and pitfalls of an interdisciplinary collaborative approach to problem solving. Keywords: interactive artwork, interdisciplinary, performative, problem solving, trial-anderror
The Strategic Value of Multiphysics Simulation
2000
A growing number of innovative products are being developed with technology representing real-world environments in which multiple types of coupled-physics interact. For decades, commercial engi- neering simulation codes — most particularly those for finite element analysis (FEA) — have focused on predicting the effects of single physical phenomena: stress or deformation of parts under mechanical load, for example, or fluid
Advanced Simulation Tools Applied to Materials Development and Design Predictions
Materials, 2019
This thematic issue on advanced simulation tools applied to materials development and design predictions gathers selected extended papers related to power generation systems, presented at the XIX International Colloquium on Mechanical Fatigue of Metals (ICMFM XIX) organized at University of Porto, Portugal, in 2018. Guest editors express special thanks to all contributors for the success of this special issue—authors, reviewers, and journal staff.