Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Nowadays, increasingly concerning environmental problems, energy economy
and raw resource scarcity urge automotive manufacturers to rethink the design
of chassis and body components in such a way that the material is used to its
full potential.
With this mindset, Topology Optimization proved its usefulness as an efficient
design tool for sustainable and lightweight designs of chassis components,
achieving better fuel economy through mass reduction. However, the initial
design provided by the topology optimization algorithm is most frequently relatively
complex, requiring additional manual post-processing by manufacturing
experts. In the pursuit of ready-to-manufacture, lightweight parts for mass
production, this study focuses on the development of a flexible and large-scale
Python code for topology optimization with integrated casting constraints.
The proposed method uses the open-source FEniCS Project as finite element
software, allowing the usage of PETSc as linear algebra back-end for better
efficiency.
The introduction of casting constraints such as directional molding, splitdrawing,
minimum hole and pocket size, minimum member size and draft
angle were considered, allowing the generation of ready-to-cast optimized parts.
The benefit of such as algorithm is the significant reduction of time spent
in post-processing, leading to faster development times of lightweight and
innovative designs. De nos jours, les problèmes environnementaux de plus en plus préoccupants,
l’économie d’énergie et la rareté des matières premières poussent les constructeurs
automobiles à repenser la conception des composants de châssis et de
carrosserie de manière à utiliser le matériau à son plein potentiel.
Dans cet état d’esprit, l’optimisation topologique a prouvé son utilité en tant
qu’outil de conception efficace pour la conception de composants de châssis
durables et légèrs, permettant une meilleure économie de carburant grâce à
la réduction de la masse. Cependant, la conception initiale fournie par l’algorithme
d’optimisation topologique est le plus souvent relativement complexe,
ce qui nécessite un post-traitement manuel supplémentaire par les experts en
fabrication. Dans la recherche de pièces légères prêtes à être fabriquées pour
la production de masse, cette étude se concentre sur le développement d’un
code Python flexible pour l’optimisation topologique de grande échelle avec
des contraintes de moulage intégrées. La méthode proposée utilise le projet
open-source FEniCS comme logiciel d’éléments finis, permettant l’utilisation
de PETSc comme back-end d’algèbre linéaire pour une meilleure efficacité.
L’introduction de contraintes de coulée telles que le moulage directionnel,
l’emboutissage fractionné, la taille minimale des trous et des poches, la taille
minimale des éléments et l’angle de dépouille a été prise en compte, permettant
la génération de pièces optimisées prêtes à couler. L’avantage d’un tel algorithme
est la réduction significative du temps passé en post-traitement, ce qui
permet d’accélérer le développement de conceptions légères et innovantes.

topology optimization --- manufacturing --- casting --- molding --- automotive --- lightweight --- mass reduction --- sustainability --- chassis components --- optimisation topologique --- fabrication --- coulée --- moulage --- automobile --- légèreté --- réduction de la masse --- durabilité --- composants de châssis --- Ingénierie, informatique & technologie > Ingénierie civile

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Recent biochemical studies indicate that calorie restriction (CR) is a widely accepted method for anti-aging intervention. CR and intermittent fasting (IF), which involves reduced calories but proper nutritional intake during specific periods, are interventions that can consistently promote health benefits, delay biological aging, and extend both average and maximal lifespan. Furthermore, CR can modulate age-related diseases such as Alzheimer’s disease, atherosclerosis, diabetes, obesity, cancer, and others. Advances in omics technologies have provided a technical breakthrough that enabled the investigation of DNA, RNA, proteins, and other cellular molecules and their comprehensive interactions in a biological context. Nowadays, it is possible to analyze and integrate biological processes that occur in aging systems at the molecular level using state-of-the-art techniques such as next-generation sequencing (NGS), proteomics, lipidomics, metabolomics, and epigenomics. Omics technology and systems gerontology provide predictive information on CR effects, molecular mechanisms, and pathways underlying the anti-aging actions of CR and IF. This Special Issue, “The effects of calorie restriction and intermittent fasting on health and disease”, focuses on the effects of calorie restriction and intermittent fasting on age-related inflammation, autophagy, metabolism, longevity, mitochondrial function, and age-related diseases.

Research & information: general --- Biology, life sciences --- Food & society --- calorie restriction diet --- body mass reduction --- insulin --- IGF-1 --- leptin --- adiponectin --- malnutrition --- heart impairment --- papillary muscle assay --- calcium transient proteins --- SERCA2a --- L-type calcium channel --- aging --- autophagy --- calorie restriction (CR) --- CR mimetic --- calorie restriction --- FoxO transcription factor --- sirtuin --- neuropeptide Y --- pleiotropy of CR genes --- senescence-associated secretory phenotype --- senoinflammation --- mimetics --- intermittent fasting --- fat mass --- insulin secretion --- pancreatic islet --- lifespan --- longevity --- fasting --- skin aging --- photoaging --- skin appendages --- caloric restriction --- fatty acid biosynthesis --- mitochondrial biogenesis --- adipocyte --- n/a