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Judul Advanced Digital Design and Intelligent Manufacturing / Jozef Svetlík
Pengarang Jozef Svetlík
Rudolf Jánoš
Ján Semjon
Penerbitan 4052 Basel, Switzerland : MDPI, 2026
Deskripsi Fisik 250
ISBN 978-3-7258-7808-6
Subjek Engineering; Smart manufacturing; Computer-aided design; Production engineering—Data processing
Catatan "Summary This Reprint presents a collection of scientific contributions focused on the practical application of digital technologies and intelligent systems in modern mechanical engineering. It emphasizes the role of robotic milling, advanced CNC machining and additive manufacturing in enhancing production precision and geometric accuracy. The research highlights the integration of artificial intelligence and machine learning for optimizing manufacturing parameters and improving surface quality in complex machining tasks. By addressing the challenges of system rigidity automation and digital twin implementation, this Reprint provides a technical foundation for developing more flexible and sustainable industrial workflows. The findings offer essential knowledge for researchers and engineers seeking to bridge the gap between theoretical simulations and real-world manufacturing performance in the era of Industry 4.0."
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Lokasi Akses Online https://www.mdpi.com/books/reprint/12881-advanced-digital-design-and-intelligent-manufacturing

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
119826192 670.427 Joz a Baca Online Perpustakaan Pusat - Online Resources
Ebook
Tersedia
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245 1 # $a Advanced Digital Design and Intelligent Manufacturing /$c Jozef Svetlík
260 # # $a 4052 Basel, Switzerland :$b MDPI,$c 2026
300 # # $a 250
505 # # $a "Summary This Reprint presents a collection of scientific contributions focused on the practical application of digital technologies and intelligent systems in modern mechanical engineering. It emphasizes the role of robotic milling, advanced CNC machining and additive manufacturing in enhancing production precision and geometric accuracy. The research highlights the integration of artificial intelligence and machine learning for optimizing manufacturing parameters and improving surface quality in complex machining tasks. By addressing the challenges of system rigidity automation and digital twin implementation, this Reprint provides a technical foundation for developing more flexible and sustainable industrial workflows. The findings offer essential knowledge for researchers and engineers seeking to bridge the gap between theoretical simulations and real-world manufacturing performance in the era of Industry 4.0."
650 # # $a Engineering; Smart manufacturing; Computer-aided design; Production engineering—Data processing
700 0 # $a Ján Semjon
700 0 # $a Rudolf Jánoš
856 # # $a https://www.mdpi.com/books/reprint/12881-advanced-digital-design-and-intelligent-manufacturing
990 # # $a 119826192
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