By Jean-Pierre Nadeau, Xavier Fischer
Research in Interactive layout (vol. three) offers an in-depth learn of latest product layout equipment. Interactive layout is an unique dependent layout procedure that has lately emerged from transversal examine. at the learn part, the subject of interactive layout is the fruitful results of subtle joint reviews combining particular numerical engineering theories, unique improvement in layout technological know-how and commercial engineering, new discoveries in mechatronics and complex mechanical engineering equipment. also, merits from interactive layout tools. Interactive layout is a confident process that has a tendency to make sure innovation by means of bettering user-integration within the layout approach, fostering the advance of digital prototypes and offering new robust methods for collaborative layout actions. Interactive layout tools are visible because the extension of conventional CAD instruments. This booklet offers a correct evaluate of the hot learn or business program in interactive layout. different arguments, taken from the foreign convention digital thought 2010, will give you the reader with a few complicated ideas pertaining to new tools and instruments through discussing: - modelling strategies: new options making sure the advance of excessive certified, up-dated and diminished versions with the ability to characterize the behaviour of a procedure or a product in its setting; - layout answer area exploration: particular tools devoted to the id of compatible layout recommendations and their digital illustration permitting engineers to engage with the digital worlds; - interactive approach association: experiences highlighting the fundamental evolutions of a strategy integrating new tools of interactive layout. each one next a part of the publication addresses either complicated suggestions and business functions of the newest winning learn in interactive layout. The options offered are greater by means of demonstrations of actual commercial problem-solving. the several chapters strongly spotlight novel ideas for helping decision-making in a major box of engineering: product layout, production and meeting, education and possibility prevention, Robotics, layout for patrons, mechanical engineering, and so on. during this publication, even if a researcher or an industrialist, the reader will locate the latest interactive layout strategies and is bound to extract a few major concepts.
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Additional resources for Research in Interactive Design Vol. 3: Virtual, Interactive and Integrated Product Design and Manufacturing for Industrial Innovation
This biological process leads to a stiffness-optimized structure with minimum stresses and minimum weight by modifying the material distribution towards highly loaded areas. In general the implementation consists of a Finite Element Analysis combined with an optimization technique for iterative updates to the material distribution. The design space is divided into small regions of varying density. Here we often use Finite Elements to define these regions. To find an optimized design, the density of each element of the FE-meshed design space is adjusted by an optimizer to match desired objective and constraints.
17 Percentage of ants taking short path for different population size. (a) 10 ants population. (b) 100 ants population After some time or multiple iterations, all the ants chose to use only the short branch with the stronger signal. For this simple example, Fig. 17 depicts the percentage of ants taking the short path, for population of 10 and 100 ants. We can see that an algorithm with 100 ants is essentially faster, but 10 ants are able to converge to the shortest path as well. It has been shown that it is often sufficient to consider a stigmergic, indirect mode of communication to explain how social insects can achieve self-organization.
Afterward, in each iteration we update the velocity according to Eq. 1) for every particle j. Then the particles’ new position p j ðt þ 1Þ is found by adding the new velocity v j ðt þ 1Þ to its current position pj(t) (cf. Eq. 2). Before starting the next iteration, the fitness of all particles is evaluated and the global best and all personal best positions are updated. g. the maximum number of iterations is reached. v j ðt þ 1Þ ¼ c1 v j ðtÞ þ c2 r1 ∘ pPb, j À p j ðtÞ þ c3 r2 ∘ pGb À p j ðtÞ p j ðt þ 1Þ ¼ p j ðtÞ þ v j ðt þ 1Þ ð2:1Þ ð2:2Þ Here, the inertia parameter c1 weights the previous particle velocity v j ðtÞ, the inertia tendency, forcing the particle to explore the search space by continuing its direction of travel.
Research in Interactive Design Vol. 3: Virtual, Interactive and Integrated Product Design and Manufacturing for Industrial Innovation by Jean-Pierre Nadeau, Xavier Fischer