Showing 181 - 199 results of 199 for search '"Manufacturing engineering"', query time: 0.04s Refine Results
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    Lojistik 4.0 Üzerine Yapılan Araştırmaların Bibliyometrik Analizi by Muhammed Turğut, İpek Gürsoy

    Published 2023-01-01
    “…Analizler sonucunda, en çok ortak çalışma yürüten yazarın ‘Olaverri-Monreali, C’ olduğu; ‘Lojistik 4.0’, ‘Endüstri 4.0’, ‘Nesnelerin İnterneti’, ‘Sürdürülebilirlik’, ‘Büyük Veri ve Dijitalizasyon’un en sık kullanılan ortak kelimeler olduğu; en çok atıf alan çalışmanın Barreto (2017)’a ait olduğu; en etkili derginin ‘Manufacturing Engineering Society’ olduğu ve en çok atıf alan yazarın ‘Amaral, A’ olduğu tespit edilmiştir. …”
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    Tribological Analysis of Laser-Textured WC-Co Against Ti6Al4V Under Dry and Lubricated Conditions for Different Sliding Times by Javier Garcia-Fernandez, Moises Batista, Juan Manuel Vazquez-Martinez, Jorge Salguero, Irene Del Sol, Magdalena Ramirez-Peña

    Published 2025-01-01
    “…Machining titanium alloys, particularly Ti6Al4V, pose significant challenges in manufacturing engineering. The combination of high strength and low thermal conductivity makes Ti6Al4V a particularly difficult material to machine. …”
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    Prediction of Cutting Conditions in Turning AZ61 and Parameters Optimization Using Regression Analysis and Artificial Neural Network by Nabeel H. Alharthi, Sedat Bingol, Adel T. Abbas, Adham E. Ragab, Mohamed F. Aly, Hamad F. Alharbi

    Published 2018-01-01
    “…All manufacturing engineers are faced with a lot of difficulties and high expenses associated with grinding processes of AZ61. …”
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    Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS by Adel T. Abbas, Mohanad Alata, Adham E. Ragab, Magdy M. El Rayes, Ehab A. El Danaf

    Published 2017-01-01
    “…The production line of these parts contains many CNC turning machines to get good accuracy and repeatability. The manufacturing engineer should fulfill the required surface roughness value according to the design drawing from first trail (otherwise these parts will be rejected) as well as keeping his eye on maximum metal removal rate. …”
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    An Ontology-Enabled Case-Based Reasoning Decision Support System for Manufacturing Process Selection by Mohammed M. Mabkhot, Ali M. Al-Samhan, Lotfi Hidri

    Published 2019-01-01
    “…In nowadays industry 4.0 and changeable manufacturing context, designers and manufacturing engineers struggle to determine appropriate quick, accurate (with flawless quality), and cost-effective processes to design highly customized products to meet customer requirements. …”
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