Search for dissertations about: "Department Of Engineering Sciences And Mathematics."

Showing result 1 - 5 of 15 swedish dissertations containing the words Department Of Engineering Sciences And Mathematics..

  1. 1. Weld Pool Simulations

    Author : Marcus Edstorp; Högskolan Väst; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Arc Welding; Weld Pool; Multiphysics Simulations; Moving Boundaries; Free Surfaces; Mesh Motion; Two-Phase Flow; Incompressible Flow; Electromagnetics; Finite Element Methods; Applied mathematics; Tillämpad matematik; Manufacturing engineering; Produktionsteknik; Manufacturing and materials engineering; Produktions- och materialteknik; Arc Welding; Weld Pool; Multiphysics Simulations; Moving Boundaries; Free Surfaces; Mesh Motion; Two-Phase Flow; Incompressible Flow; Electromagnetics; Finite Element Methods;

    Abstract : This investigation is devoted to the study of welding and its effect on the workpiece, focusing on the thermo and fluid dynamical phenomena occuring during a autogenous or nonautogenous arc fusion welding process. Its aim is to simulate the behaviour of the weld pool and analyze the consequence of the solid-liquid phase change, thus obtaining a methodology for predicting the appearance of weld defects related to solidification and cooling. READ MORE

  2. 2. On the Optimization of Schedules of a Multitask Production Cell

    Author : Karin Thörnblad; Göteborgs universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; mathematical optimization; flexible job shop scheduling; mixed integer linear programming MILP ; complexity analysis; mathematical modelling; production planning; multi-purpose machine; dispatching rule; priority function; total flowtime; total tardiness; release date; due date; due date;

    Abstract : Volvo Aero has invested in a complex production cell containing a set of multipurpose machines. The problem of finding optimal schedules for this multitask cell is a complex combinatorial optimization problem which is recognized as a flexible job shop problem. This thesis proposes an approach to find such schedules using mathematical optimization. READ MORE

  3. 3. Parallel algorithms and implementations for genetic analysis of quantitative traits

    Author : Mahen Jayawardena; Sverker Holmgren; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Beräkningsvetenskap; Scientific Computing;

    Abstract : Many important traits in plants, animals and humans are quantitative, and most such traits are generally believed to be regulated by multiple genetic loci. Standard computational tools for analysis of quantitative traits use linear regression models for relating the observed phenotypes to the genetic composition of individuals in a population. READ MORE

  4. 4. Parallelizing the Method of Conjugate Gradients for Shared Memory Architectures

    Author : Henrik Löf; Jarmo Rantakokko; Erik Hagersten; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Beräkningsvetenskap; Scientific Computing;

    Abstract : Solving Partial Differential Equations (PDEs) is an important problem in many fields of science and engineering. For most real-world problems modeled by PDEs, we can only approximate the solution using numerical methods. Many of these numerical methods result in very large systems of linear equations. READ MORE

  5. 5. The role of students' identity development in higher education in computing

    Author : Anne-Kathrin Peters; Arnold Pears; Anna Eckerdal; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Datavetenskap med inriktning mot datavetenskapens didaktik; Computer Science with specialization in Computer Science Education Research;

    Abstract : Higher Education Research in science, technology, engineering, and mathematics (STEM) indicates that students are not well supported in the process of integrating their educational experience with their perception of who they are and want to become. This is associated with drop-out and also has consequences for student learning. READ MORE