Sökning: "stiffness optimization"
Visar resultat 1 - 5 av 46 uppsatser innehållade orden stiffness optimization.
1. A personalized quasi-passive ankleexoskeleton using human-in-the loop optimization approaches
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Passive ankle exoskeletons have been proven to successfully decrease muscle demand for walking. The movement of the user’s ankle drives a mechanical clutch and spring, which eventually stores and returns mechanical energy to the user. LÄS MER
2. OPTIMERING AV EN INDIREKT ELISA FÖR DETEKTION AV AUTOANTIKROPPAR VID JUVENIL IDIOPATISK ARTRIT
Kandidat-uppsats, Malmö universitet/Fakulteten för hälsa och samhälle (HS)Sammanfattning : Juvenil idiopatisk artrit (JIA) är en autoimmun reumatisk sjukdom som drabbar barn före 16 års ålder. Den vanligaste varianten är oligoartikulär JIA, vilket innebär att den påverkar två till fyra leder med symptom så som svullnad, ömhet, stelhet, rodnad eller nedsatt motorik. LÄS MER
3. Design and Development of a Foldable Motorized Micro-Haulage Vehicle
Master-uppsats, Lunds universitet/InnovationSammanfattning : This thesis describes the process of designing and developing a foldable motorized micro-haulage vehicle, which follows the user, for urban transportation. The project is made in collaboration with Volvo Car Corporation. The transportation industry stands as a significant contributor to greenhouse emissions. LÄS MER
4. A Feasibility Analysis of Natural Composite Alternatives in High Performance Sailing Vessels
Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikSammanfattning : The construction of high-performance vessels like the F50 catamaran has traditionally prioritized advanced composite materials and performance-driven design. However, there is a growing need to incorporate sustainable materials and practices, with their performance in marine applications remaining relatively unknown. LÄS MER
5. Multi-Scale Topology Optimization of Lattice Structures Using Machine Learning
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Tillämpad mekanikSammanfattning : This thesis explores using multi-scale topology optimization (TO) by utilizing inverse homogenization to automate the adjustment of each unit-cell's geometry and placement in a lattice structure within a pressure vessel (the design domain) to achieve desired structural properties. The aim is to find the optimal material distribution within the design domain as well as desired material properties at each discretized element and use machine learning (ML) to map microstructures with corresponding prescribed effective properties. LÄS MER