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Showing result 1 - 5 of 97 swedish dissertations matching the above criteria.

  1. 1. On Deterministic feature-based Surface Analysis

    Author : Vijeth Venkataram Reddy; Bengt Göran Rosén; Cecilia Anderberg; Högskolan i Halmstad; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Regression; Coherence Scanning Interferometer; Characterization; Manufacturing; Stylus Profilometer; Areal surface parameters; Surface profile parameters.;

    Abstract : Manufacturing sector is continuously identifying opportunities to streamline production, reduce waste and improve manufacturing efficiency without compromising product quality. Continuous improvement has been the primary objective to produce acceptable quality products and meet dynamic customer demands by using advanced techniques and methods. READ MORE

  2. 2. On Characterization and Optimization of Engineering Surfaces

    Author : Vijeth Venkataram Reddy; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Stylus Profilometer; Manufacturing; Coherence Scanning Interferometer; Regression; Areal surface parameters; Characterization; Functional surfaces; Surface profile parameters;

    Abstract : Swedish manufacturing industry in collaboration with academia is exploring innovative ways to manufacture eco-efficient and resource efficient products. Consequently, improving manufacturing efficiency and quality has become the priority for the manufacturing sector to remain competitive in a sustainable way. READ MORE

  3. 3. On Characterization and Optimization of Surface Topography in Additive Manufacturing Processes

    Author : AMOGH VEDANTHA KRISHNA; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; areal surface texture parameters; additive manufacturing; power spectral density; vat-photopolymerization; laser-based Powder bed fusion; fused deposition modeling; profile parameters; feature-based characterization; and multiple regression.; scale-sensitive fractal analysis; surface metrology;

    Abstract : With its ability to construct components through the layer-by-layer deposition of material, Additive Manufacturing (AM), more commonly known as "3D printing", has revolutionized the manufacturing industries. Not only can AM produce complex lightweight designs, but it can also streamline the supply chain, allowing businesses to more quickly and easily meet customer demand. READ MORE

  4. 4. Towards Topography Characterization of Additive Manufacturing Surfaces

    Author : AMOGH VEDANTHA KRISHNA; Bengt Göran Rosén; Frederic Cabanettes; Högskolan i Halmstad; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Laser-based Powder bed fusion; Fused deposition modeling; Structured light projection; Stylus profilometer; Multiple regression; Areal surface texture parameters; Profile parameters; Feature-based characterization; Power spectral density; Scale-sensitive fractal analysis; Confocal fusion; Additive manufacturing;

    Abstract : Additive Manufacturing (AM) is on the verge of causing a downfall to conventional manufacturing with its huge potential in part manufacture. With an increase in demand for customized product, on-demand production and sustainable manufacturing, AM is gaining a great deal of attention from different industries in recent years. READ MORE

  5. 5. Bayesian Modeling of Conditional Densities

    Author : Feng Li; Mattias Villani; Sylvia Frühwirth-Schnatter; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bayesian inference; Density estimation; smooth mixtures; surface regression; copulas; Markov chain Monte Carlo; Statistics; statistik;

    Abstract : This thesis develops models and associated Bayesian inference methods for flexible univariate and multivariate conditional density estimation. The models are flexible in the sense that they can capture widely differing shapes of the data. The estimation methods are specifically designed to achieve flexibility while still avoiding overfitting. READ MORE