The development and application of an optimization tool in industrial design
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ORIGINAL PAPER
The development and application of an optimization tool in industrial design Francesco Demarco1 · Francesca Bertacchini2 · Carmelo Scuro1 · Eleonora Bilotta1 · Pietro Pantano1 Received: 30 April 2020 / Accepted: 24 July 2020 / Published online: 11 August 2020 © The Author(s) 2020
Abstract Designers are identified, in industry 4.0, as the professional figures that have to design well performing new object. In order to do this, it is necessary to take into account a series of properties called design objectives. Often the structural problem of new design is underestimated or even not considered. This can be a real problem because this objective is in competitive and in contrast with other design objectives. So, this can bring to substantial change in a design in the final phase and sometimes to the complete change. In this paper is presented an optimization workflow that adopt a Multi Objective Optimization engine so called “Octopus” and Karamba3D, that is a Finite Elements (FE) plug-in, typically used in structural simulations, these extensions run in a software: Grassopper3D, that is a parametric design tool. The workflow allows designers to explore a large range of solutions and at the same time permits to filter and sort the optimized models in order to analyze the tradeoff of the resultant solution space, both qualitatively and quantitatively. In such way designers can obtain easily a lot of information of the generate design and identify potential solution for immediate use or for further optimization. In this paper is analyzed a design problem of an ergonomic chair in order to provide the efficiency of the workflow. The design criteria and the structural problem for this type of design object are identified as the main optimization objectives in order to iteratively improve the design solutions. Keywords Parametric design · Genetic algorithms · Optimization tool · Industry 4.0
1 Introduction To date, designers face the challenge of designing products by improving the performance of objects using qualitative and quantitative criteria. Using traditional design methods, the new class of designers are unable to produce and
* Carmelo Scuro [email protected] Francesco Demarco [email protected] Francesca Bertacchini [email protected] Eleonora Bilotta [email protected] Pietro Pantano [email protected] 1
Department of Physics, University of Calabria, Rende, Italy
Department of Mechanical, Energy and Management Engineering, University of Calabria, Rende, Italy
2
examine a large number of variants of the object, and they cannot guarantee the performance criteria implemented in the original design. The new graphical and computational computer technologies have permit to develop design tools that allows to explore and find a larger number of solution in design subspace of optimum results [29]. A creative optimization method is shown in this paper, employing a multi-objective optimization engine called Octopus. This optimization engine is imp
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