Sökning: "round edge"

Visar resultat 11 - 13 av 13 avhandlingar innehållade orden round edge.

  1. 11. Machinability variations in Alloy 718 —With focus on machining of turbine components

    Författare :Pajazit Avdovic; Industriell Produktion; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; polar diagram; flank wear; ceramic tool; variation in material; tool wear; tool life; machinability; Inconel; Alloy 718; Machining; notch wear;

    Sammanfattning : In gas turbine engine, nickel base alloy, such as Alloy 718, accounts for almost half of the total material requirement. Nickel-base superalloys are used for gas turbine components mainly because of their outstanding strength and resistance to oxidation at high temperatures (> 550°C). LÄS MER

  3. 12. Efficient Memory Access and Synchronization in NoC-based Many-core Processors

    Författare :Xiaowen Chen; Zhonghai Lu; Umit Ogras; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Many-core; Network-on-Chip; Distributed Shared Memory; Microcode; Virtual-to-physical Address Translation; Memory Access Fairness; Barrier Synchronization; Cooperative Communication; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : In NoC-based many-core processors, memory subsystem and synchronization mechanism are always the two important design aspects, since mining parallelism and pursuing higher performance require not only optimized memory management but also efficient synchronization mechanism. Therefore, we are motivated to research on efficient memory access and synchronization in three topics, namely, efficient on-chip memory organization, fair shared memory access, and efficient many-core synchronization. LÄS MER

  4. 13. Communication-Efficient Resource Allocation for Wireless Federated Learning Systems

    Författare :Chung-Hsuan Hu; Erik G. Larsson; Zheng Chen; Viktoria Fodor; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : The training of machine learning (ML) models usually requires a massive amount of data. Nowadays, the ever-increasing number of connected user devices has benefited the development of ML algorithms by providing large sets of data that can be utilized for model training. LÄS MER