Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L
出版年份 2020 全文链接
标题
Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L
作者
关键词
Additive manufacturing, Fatigue life prediction, Machine learning models, Continuum damage mechanics, Stainless steel 316L
出版物
INTERNATIONAL JOURNAL OF FATIGUE
Volume 142, Issue -, Pages 105941
出版商
Elsevier BV
发表日期
2020-09-10
DOI
10.1016/j.ijfatigue.2020.105941
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Microstructural damage and fracture mechanisms of selective laser melted Al-Si alloys under fatigue loading
- (2020) Mustafa Awd et al. THEORETICAL AND APPLIED FRACTURE MECHANICS
- Compaction property prediction of mixed gangue backfill materials using hybrid intelligence models: A new approach
- (2020) Baiyi Li et al. CONSTRUCTION AND BUILDING MATERIALS
- Killer notches: The effect of as-built surface roughness on fatigue failure in AlSi10Mg produced by laser powder bed fusion
- (2020) A. du Plessis et al. Additive Manufacturing
- The State of the Art of Data Science and Engineering in Structural Health Monitoring
- (2019) Yuequan Bao et al. Engineering
- Machine learning for composite materials
- (2019) Chun-Teh Chen et al. MRS Communications
- Development of a novel fatigue damage model with AM effects for life prediction of commonly-used alloys in aerospace
- (2019) Zhixin Zhan et al. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
- Fatigue life and microstructure of additive manufactured Ti6Al4V after different finishing processes
- (2019) L. Denti et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Phase-field modeling and machine learning of electric-thermal-mechanical breakdown of polymer-based dielectrics
- (2019) Zhong-Hui Shen et al. Nature Communications
- Fatigue of additively manufactured 316L stainless steel: The influence of porosity and surface roughness
- (2019) Klas Solberg et al. FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
- Effect of post-treatments on the fatigue behaviour of 316L stainless steel manufactured by laser powder bed fusion
- (2019) Chola Elangeswaran et al. INTERNATIONAL JOURNAL OF FATIGUE
- Fatigue life prediction for AlSi10Mg components produced by selective laser melting
- (2019) Ming Tang et al. INTERNATIONAL JOURNAL OF FATIGUE
- Rubber fatigue life prediction using a random forest method and nonlinear cumulative fatigue damage model
- (2019) Qiaobin Liu et al. JOURNAL OF APPLIED POLYMER SCIENCE
- Linear and non-linear SVM prediction for fresh properties and compressive strength of high volume fly ash self-compacting concrete
- (2019) Mohammad Azimi-Pour et al. CONSTRUCTION AND BUILDING MATERIALS
- Fatigue of additive manufactured Ti-6Al-4V, Part II: The relationship between microstructure, material cyclic properties, and component performance
- (2019) R. Molaei et al. INTERNATIONAL JOURNAL OF FATIGUE
- Mechanical and corrosion characterization of industrially treated 316L stainless steel surfaces
- (2019) L.B. Coelho et al. SURFACE & COATINGS TECHNOLOGY
- Biocompatible Zirconia‐Coated 316 stainless steel with anticorrosive behavior for biomedical application
- (2018) Gobi Saravanan Kaliaraj et al. CERAMICS INTERNATIONAL
- The influence of laminate stacking sequence on ballistic limit using a combined Experimental/FEM/Artificial Neural Networks (ANN) methodology
- (2018) J.A. Artero-Guerrero et al. COMPOSITE STRUCTURES
- Fatigue properties of AlSi10Mg obtained by additive manufacturing: Defect-based modelling and prediction of fatigue strength
- (2018) S. Romano et al. ENGINEERING FRACTURE MECHANICS
- Remaining fatigue life assessment of in-service road bridge decks based upon artificial neural networks
- (2018) Eissa Fathalla et al. ENGINEERING STRUCTURES
- An online tool for predicting fatigue strength of steel alloys based on ensemble data mining
- (2018) Ankit Agrawal et al. INTERNATIONAL JOURNAL OF FATIGUE
- Surface roughness effects on the fatigue strength of additively manufactured Ti-6Al-4V
- (2018) Jonathan Pegues et al. INTERNATIONAL JOURNAL OF FATIGUE
- Fatigue behavior prediction and analysis of shot peened mild carbon steels
- (2018) Erfan Maleki et al. INTERNATIONAL JOURNAL OF FATIGUE
- Artificial neural network for random fatigue loading analysis including the effect of mean stress
- (2018) J.F. Durodola et al. INTERNATIONAL JOURNAL OF FATIGUE
- Low- and high-cycle fatigue resistance of Ti-6Al-4V ELI additively manufactured via selective laser melting: Mean stress and defect sensitivity
- (2018) M. Benedetti et al. INTERNATIONAL JOURNAL OF FATIGUE
- An intelligent modelling framework for mechanical properties of cemented paste backfill
- (2018) Chongchong Qi et al. MINERALS ENGINEERING
- Inclusion evolution in additive manufactured 316L stainless steel by laser metal deposition process
- (2018) Du-Rim Eo et al. MATERIALS & DESIGN
- On the fatigue strength enhancement of additive manufactured AlSi10Mg parts by mechanical and thermal post-processing
- (2018) Sara Bagherifard et al. MATERIALS & DESIGN
- A critical review of powder-based additive manufacturing of ferrous alloys: Process parameters, microstructure and mechanical properties
- (2018) Haniyeh Fayazfar et al. MATERIALS & DESIGN
- Bio-functional and anti-corrosive 3D printing 316L stainless steel fabricated by selective laser melting
- (2018) Decheng Kong et al. MATERIALS & DESIGN
- Predictive models for fatigue property of laser powder bed fusion stainless steel 316L
- (2018) Meng Zhang et al. MATERIALS & DESIGN
- Influence of defects, surface roughness and HIP on the fatigue strength of Ti-6Al-4V manufactured by additive manufacturing
- (2018) Hiroshige Masuo et al. INTERNATIONAL JOURNAL OF FATIGUE
- A simplified method to predict fatigue damage of TTR subjected to short-term VIV using artificial neural network
- (2018) Eileen Wee Chin Wong et al. ADVANCES IN ENGINEERING SOFTWARE
- Fatigue life prediction for vibration isolation rubber based on parameter-optimized support vector machine model
- (2018) Qiaobin Liu et al. FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
- Fatigue performances of selective laser melted Ti-6Al-4V alloy: Influence of surface finishing, hot isostatic pressing and heat treatments
- (2018) Hanchen Yu et al. INTERNATIONAL JOURNAL OF FATIGUE
- A comparison of random forest and support vector machine approaches to predict coal spontaneous combustion in gob
- (2018) Changkui Lei et al. FUEL
- Damage mode identification of adhesive composite joints under hygrothermal environment using acoustic emission and machine learning
- (2018) D. Xu et al. COMPOSITE STRUCTURES
- High cycle fatigue and ratcheting interaction of laser powder bed fusion stainless steel 316L: Fracture behaviour and stress-based modelling
- (2018) Meng Zhang et al. INTERNATIONAL JOURNAL OF FATIGUE
- Remaining Useful Life Estimation of Aircraft Engines Using a Modified Similarity and Supporting Vector Machine (SVM) Approach
- (2017) Zhongzhe Chen et al. Energies
- Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
- (2017) Muhammad Waseem Ahmad et al. ENERGY AND BUILDINGS
- Study of the effect of heat treatment on fatigue crack growth behaviour of 316L stainless steel produced by selective laser melting
- (2017) O. Fergani et al. FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
- Additive manufacturing of 316L stainless steel by electron beam melting for nuclear fusion applications
- (2017) Yuan Zhong et al. JOURNAL OF NUCLEAR MATERIALS
- Fatigue and fracture behaviour of laser powder bed fusion stainless steel 316L: Influence of processing parameters
- (2017) Meng Zhang et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Fatigue strength of blunt V-notched specimens produced by selective laser melting of Ti-6Al-4V
- (2017) S.M.J. Razavi et al. THEORETICAL AND APPLIED FRACTURE MECHANICS
- Variable selection and prediction of uniaxial compressive strength and modulus of elasticity by random forest
- (2017) S.S. Matin et al. APPLIED SOFT COMPUTING
- Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating
- (2016) Ahnaf Rashik Hassan et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Continuum damage mechanics-based approach to the fatigue life prediction for 7050-T7451 aluminum alloy with impact pit
- (2016) Zhixin Zhan et al. INTERNATIONAL JOURNAL OF DAMAGE MECHANICS
- Random forest in remote sensing: A review of applications and future directions
- (2016) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Application of artificial neural network for predicting crack growth direction in multiple cracks geometry
- (2015) Deepayan Gope et al. APPLIED SOFT COMPUTING
- A continuum damage mechanics model for pit-to-crack transition in AA2024-T3
- (2015) M. Amiri et al. CORROSION SCIENCE
- Prediction of fretting fatigue crack initiation in double lap bolted joint using Continuum Damage Mechanics
- (2015) A. Ferjaoui et al. INTERNATIONAL JOURNAL OF FATIGUE
- One-equation integration algorithm of a generalized quadratic yield function with Chaboche non-linear isotropic/kinematic hardening
- (2015) M. Wali et al. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
- Selective laser melting of AlSi10Mg alloy: Process optimisation and mechanical properties development
- (2015) Noriko Read et al. MATERIALS & DESIGN
- Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
- (2015) V. Rodriguez-Galiano et al. ORE GEOLOGY REVIEWS
- A damage mechanics approach to fretting fatigue life prediction with consideration of elastic–plastic damage model and wear
- (2015) Fei Shen et al. TRIBOLOGY INTERNATIONAL
- Additive Manufacturing Technologies – Rapid Prototyping to Direct Digital Manufacturing
- (2014) Bernhard Mueller ASSEMBLY AUTOMATION
- Review on fracture and crack propagation in weldments – A fracture mechanics perspective
- (2014) U. Zerbst et al. ENGINEERING FRACTURE MECHANICS
- Approximating support vector machine with artificial neural network for fast prediction
- (2014) Seokho Kang et al. EXPERT SYSTEMS WITH APPLICATIONS
- An improved damage evolution law based on continuum damage mechanics and its dependence on both stress triaxiality and the third invariant
- (2014) L. Malcher et al. INTERNATIONAL JOURNAL OF PLASTICITY
- Metal Additive Manufacturing: A Review
- (2014) William E. Frazier JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
- Lifetime of semi-ductile materials through the critical plane approach
- (2013) Karolina Walat et al. INTERNATIONAL JOURNAL OF FATIGUE
- Laser additive manufacturing of metallic components: materials, processes and mechanisms
- (2012) D D Gu et al. INTERNATIONAL MATERIALS REVIEWS
- Fatigue life prediction of rubber-like materials under multiaxial loading using a continuum damage mechanics approach: Effects of two-blocks loading and R ratio
- (2012) G. Ayoub et al. MECHANICS OF MATERIALS
- Crack propagation in pneumatic tires: Continuum mechanics and fracture mechanics approaches
- (2011) G. Previati et al. INTERNATIONAL JOURNAL OF FATIGUE
- A critical distance/plane method to estimate finite life of notched components under variable amplitude uniaxial/multiaxial fatigue loading
- (2011) Luca Susmel et al. INTERNATIONAL JOURNAL OF FATIGUE
- A continuum damage mechanics framework for modeling micro-damage healing
- (2011) Masoud K. Darabi et al. INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
- Vertical bagging decision trees model for credit scoring
- (2010) Defu Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started