WeChat Mini Program
Old Version Features

    • Development of Manufacturing Processes for Magnesium Sheet

    A. Javaid,F. Czerwinski

    MAGNESIUM TECHNOLOGY 2019（2019）

    CanmetMATERIALS

    Cited 3|Views5
    Abstract
    Although casting is still the dominant manufacturing process of magnesium components, to open new application opportunities a quality sheet as a semi-finished product is required. At present, applications for sheet have been limited due to the poor cold formability of magnesium combined with the perceived high cost of the rolled products. In this report, research activities oriented towards development of advanced magnesium sheet technology at CanmetMATERIALS are described. They cover twin-roll casting and solid-state rolling trials both conducted using the pilot-scale equipment. Results are presented for commercial alloys and experimental compositions with additions of rare earths, in-house designed and manufactured. The present challenges are outlined, including those caused by high affinity of magnesium to oxygen and their effect on hardware performance and quality of produced strips and sheets.
    More
    Translated text
    Key words
    Magnesium sheet,Twin-roll casting,Rolling,Rare earth elements
    求助PDF
    上传PDF
    View via Publisher
    Bibtex
    AI Read Science
    AI Summary
    AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
    Example
    Background
    Key content
    Introduction
    Methods
    Results
    Related work
    Fund
    Key content
    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
    Upload PDF to Generate Summary
    Must-Reading Tree
    Example
    Generate MRT to find the research sequence of this paper
    Data Disclaimer
    The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
    Chat Paper
    Summary is being generated by the instructions you defined