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PhD. Phung Xuan Lan

Address: 112, Building C5, HUST, No. 1- Dai Co Viet Street, Ha Noi, Vietnam
Email: lan.phungxuan@hust.edu.vn
Tel: 0935 888 435
Position: Deputy head of department

Teaching

  • Machining technology
  • Jig and Fixtures
  • CNC technology
  • CAD/CAM/CNC
  • Flexible Manufacturing System & computer Integrated Manufacturing (FMS&CIM)
  • Safety and environmental engineering

Research Areas

  • Research and develop software to support the process planning and mechanical processing.
  • Research on the development of automated process design software (CAPP) for mechanical manufacturing on the basis of artificial intelligence
  • Research module supports CAD / CAM-CNC technology.
  • Study software development simulation of processes and virtual machines
  • Research 3D printing technology and machine for tissue engineering or medical application.

Educations

  • From 6/2013-7/2017: Studying PhD degree at Hanoi University of Science and Technology (HUST)
  • From 8/2005 to 8/2007: Studying Master degree at Pohang University of Science and Technology (POSTECH) – South Korea
  • From 9/1999 to 6/2004: Studying Engineer degree at Hanoi University of Science and Technology (HUST)

Selected publications

International Publication

     https://scholar.google.com/citations?user=Ld77G7IAAAAJ&hl=vi

  1. Trung Kien Nguyen, Lan Xuan Phung,* and Ngoc-Tam Bui,*. (2020) Novel Integration of CAPP in G-Code Generation Module Using Macro Programming for CNC Application. Machines – Advanced Manufacturing, (SCIE) (Accepted)
  2. Xuan Lan Phung, Hoanh Son Truong, Ngoc Tam, Bui. (2019) Expert System Based on Integrated Fuzzy AHP for Automatic Cutting Tool Selection. Appl. Sci., 9, 4308 (SCIE)
  3. Lan Xuan Phung, Dich Van Tran, Sinh Vinh Hoang, Son Hoanh Truong (2017). Effective method of operation sequencing in CAPP based on clustering algorithm. Journal of Advanced Mechanical Design, Systems, and Manufacturing (Manufacturing System), Vol. 11 No.1(SCIE).
  4. Phung Xuan Lan, Hoang Vinh Sinh. (2015) Automatic Recognition of Multi-axis Machining Features based on Machining Process from 3D Solid Model. Applied Mechanics and Materials Journal, Vol 789-790
  5. Phung Xuan Lan, Jin Woo Lee, Young-Joon Seol, Dong-Woo Cho. (2009) Development of 3D PPF-DEF scaffolds using micro-stereolithography and surface modification. Journal of Materials Science: Materials in Medicine, Volume 20, Number 1, 271-279 (SCIE)
  6. 2.Jin Woo Lee, Phung Xuan Lan, Byung Kim, Geunbae Lim, Dong-Woo Cho. (2008) Fabrication and Characteristic Analysis of a Poly(propylene fumarate) Scaffold using Micro-Stereolithography Technology, Journal of Biomedical Material Research Part B, 87 (1):1-9. (SCIE)
  7. 1.Jin Woo Lee, Phung Xuan Lan, Byung Kim, Geunbae Lim, Dong-Woo Cho. (2007) 3D scaffold fabrication with PPF/DEF using micro-stereolithography” Microelectronic Engineering, Vol.84 No.5-8 pp.1702-1705, (SCIE)

Domestic Publication

  1. Phùng Xuân Lan, Nguyễn Kiên Trung (2019). Development of CAPP Supported Module for automatic G-code generation from machining feature using macro programming Journal of Science and Technology Vol. 17, No 1.1
  2. Phùng Xuân Lan, Trần Văn Địch, Hoàng Vĩnh Sinh (2017). Development of assistance system for process planning in machining part. Science and Technology Development Journal Vol 20/2017.
  3. Phung Xuan Lan, Hoang Vinh Sinh, Truong Hoanh Son (2015). An expert system based on analytical hierarchy process for automatic cutting tool selection. (Vol 108).
  4. Phùng Xuân Lan, Đào Ngọc Hoành (2014). Development of modular construction for supporting calculation and design of mechanical machining jigs. Journal of Science & Technology, Hanoi University of Industry (Vol 23)
  5. Phung Xuan Lan, Hoang Vinh Sinh (2014). An improved method of automatic machining feature recognition from 3D solid model. Journal of Science &Technology – Technical University (Vol 100).
  6. Phung Xuan Lan(2013). Manufacturing cell formation based on a new similarity coefficient for group technology. Journal of Science &Technology – Technical University (Vol 96).

Conferences

  1. Phung Xuan Lan, Tao Ngoc Linh (2020) Automatic Extraction and Welding Feature Recognition from STEP Data. ICERA2020 (Accepted)
  2. Phùng Xuân Lan, Trần Văn Địch, Hoàng Vĩnh Sinh (2017). Development of assistance system for process planning in machining par. National scientific and technological conference on mechanics – dynamics VI, 10/2017, TP. HCM
  3. Bùi Ngọc Tâm, Phùng Xuân Lan(2016). Using optimal algorithm to train Artificial Neural Network and apply for tool selection on CNC machine. National scientific and technological conference on mechanics – dynamics V, 10/2016, Hà Nội.
  4. Phùng Xuân Lan, Hoàng Vĩnh Sinh, Trần Văn Địch (2016). Development method of setting up machining order in the design of a flexible technological process. National scientific and technological conference on mechanics V, 10/2016, Hà Nội
  5. Phùng Xuân Lan, Hoàng Vĩnh Sinh, Trương Hoành Sơn, Trần Văn Địch (2015). Research and build a system to automatically recognize machining features from 3D solid models. National scientific and technological conference on mechanics IV, 10/2015, TP.HCM
  6. Phung Xuan Lan, Hoang Vinh Sinh (2015). Automatic Recognition of Multi-axis Machining Features based on Machining Process from 3D Solid Model. 6th International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2015), 3/2015, Malaysia, supported by Nafosted
  7. Phung Xuan Lan, Jin Woo Lee, Young-Joon Seol, Dong-Woo Cho (2007). Development of 3D PPF-DEF scaffolds using micro-stereolithography and surface modification. Jeju, South Korea

Other information

Looking for students in some scientific research fields:

  1. Development application for mechanical engineering (using C#, SQL, Python, VBA)
  2. CAPP for mechanical manufacturing fields
  3. Study the construction of intelligent production management systems
 

Project List

  1. Head of university project in 2013 “Development of construction of a module to support the calculation and design of jig and fixtures”
  2. Head of university project in 2015 “Research and construction of management system and automatic selection of cutting tools in CNC machining”
  3. 3. PI project VINIF 2020-2023 “Design and fabrication of hybrid 3D bioprinter for laying out the foundation of tissue engineering research in Vietnam