Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF
出版年份 2021 全文链接
标题
Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF
作者
关键词
-
出版物
The International Journal of Advanced Manufacturing Technology
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-04-12
DOI
10.1007/s00170-021-06712-4
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Inverse identification of Johnson-Cook material constants based on modified chip formation model and iterative gradient search using temperature and force measurements
- (2019) Jinqiang Ning et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Inverse analysis and multi-objective optimization of single-point incremental forming of AA5083 aluminum alloy sheet
- (2019) Kuntal Maji et al. SOFT COMPUTING
- Prediction of average surface roughness and formability in single point incremental forming using artificial neural network
- (2019) Amrut Mulay et al. Archives of Civil and Mechanical Engineering
- Prediction of pool boiling heat transfer coefficient for various nano-refrigerants utilizing artificial neural networks
- (2019) M. J. Zarei et al. JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
- Construction of a Robust Cofactor Self-Sufficient Bienzyme Biocatalytic System for Dye Decolorization and its Mathematical Modeling
- (2019) Ding et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Performance evaluation of high-speed incremental sheet forming technology for AA5754 H22 aluminum and DC04 steel sheets
- (2018) Amrut Mulay et al. Archives of Civil and Mechanical Engineering
- Inverse determination of Johnson–Cook model constants of ultra-fine-grained titanium based on chip formation model and iterative gradient search
- (2018) Jinqiang Ning et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Investigation of the effect of forming parameters in incremental sheet forming using a micromechanics based damage model
- (2018) Shakir Gatea et al. International Journal of Material Forming
- Parametric effects on formability of AA2024-O aluminum alloy sheets in single point incremental forming
- (2018) Ajay Kumar et al. Journal of Materials Research and Technology-JMR&T
- Microstructure and texture based analysis of forming behavior and deformation mechanism of AA1050 sheet during Single Point Incremental Forming
- (2018) Parnika Shrivastava et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Formability improvement in single point incremental forming of truncated cone using a two-stage hybrid deformation strategy
- (2017) Mohsen Shamsari et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A review on the recent development of incremental sheet-forming process
- (2017) Yanle Li et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Modeling surface tension of pure refrigerants using feed-forward back-propagation neural networks
- (2017) Milad Nabipour et al. INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
- Investigation of the geometrical accuracy and thickness distribution using 3D laser scanning of AA2024-T3 sheets formed by SPIF
- (2017) Halil Bayram et al. Materiali in Tehnologije
- Single point incremental forming: state-of-the-art and prospects
- (2017) Joost R. Duflou et al. International Journal of Material Forming
- Single point incremental forming: An assessment of the progress and technology trends from 2005 to 2015
- (2017) Amar Kumar Behera et al. Journal of Manufacturing Processes
- Investigation of material deformation mechanism in double side incremental sheet forming
- (2015) B. Lu et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Artificial neural network for modeling the size of silver nanoparticles’ prepared in montmorillonite/starch bionanocomposites
- (2015) Parvaneh Shabanzadeh et al. JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
- A new approach to minimization of the surface roughness and cutting force via fuzzy TOPSIS, multi-objective grey design and RSA
- (2015) Arif Gok MEASUREMENT
- Relative Importance Analysis of a Refined Multi-parameter Phosphorus Index Employed in a Strongly Agriculturally Influenced Watershed
- (2015) Bin Zhou et al. WATER AIR AND SOIL POLLUTION
- Modeling and optimization of surface roughness in single point incremental forming process
- (2015) Suresh Kurra et al. Journal of Materials Research and Technology-JMR&T
- Determining frustum depth of 304 stainless steel plates with various diameters and thicknesses by incremental forming
- (2014) Sa’id Golabi et al. Journal of Mechanical Science and Technology
- Artificial neural network for modeling the elastic modulus of electrospun polycaprolactone/gelatin scaffolds
- (2013) Elham Vatankhah et al. Acta Biomaterialia
- Simulation and Experimental Observations of Effect of Different Contact Interfaces on the Incremental Sheet Forming Process
- (2013) Yanle Li et al. MATERIALS AND MANUFACTURING PROCESSES
- Artificial Neural Network prediction of Cu–Al2O3 composite properties prepared by powder metallurgy method
- (2013) Mostafa Amirjan et al. Journal of Materials Research and Technology-JMR&T
- Experimental and numerical investigation of formability for austenitic stainless steel 316 at elevated temperatures
- (2013) Syed Mujahed Hussaini et al. Journal of Materials Research and Technology-JMR&T
- 1,1-Dicyano-4-[4-(diethylamino)phenyl]buta-1,3-dienes: Structure-Property Relationships
- (2012) Francesca Tancini et al. EUROPEAN JOURNAL OF ORGANIC CHEMISTRY
- An integrated evolutionary approach for modelling and optimization of laser beam cutting process
- (2012) D. Kondayya et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Simulation and determination of optimum conditions of pervaporative dehydration of isopropanol process using synthesized PVA–APTEOS/TEOS nanocomposite membranes by means of expert systems
- (2011) Mashallah Rezakazemi et al. JOURNAL OF MEMBRANE SCIENCE
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- (2011) V. Nasrollahi et al. MATERIALS & DESIGN
- Identification of material parameters of the Gurson–Tvergaard–Needleman damage law by combined experimental, numerical sheet metal blanking techniques and artificial neural networks approach
- (2011) Haykel Marouani et al. International Journal of Material Forming
- Reduction of springback by intelligent sampling-based LSSVR metamodel-based optimization
- (2011) Enying Li International Journal of Material Forming
- The technology of Incremental Sheet Forming—A brief review of the history
- (2010) W.C. Emmens et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Prediction of surface roughness in the end milling machining using Artificial Neural Network
- (2009) Azlan Mohd Zain et al. EXPERT SYSTEMS WITH APPLICATIONS
- The performance of flat end and hemispherical end tools in single-point incremental forming
- (2009) Xu Ziran et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Analysis of forces, accuracy and formability in positive die sheet incremental forming
- (2009) A. Fiorentino et al. International Journal of Material Forming
- Regression analysis, support vector machines, and Bayesian neural network approaches to modeling surface roughness in face milling
- (2008) B. Lela et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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