Article
Materials Science, Textiles
A. R. Ngah, Suhad D. Salman, Z. Leman, S. M. Sapuan, M. F. M. Alkbir, Fatihhi Januddi
Summary: Drilling is a process of material removal, but problems may arise when drilling composite materials due to delamination. This study examined the effect of factors such as feed rate, spindle speed, drill bit type, and geometry on delamination during the drilling process, and used Taguchi methods to find the optimal parameters.Minimizing delamination was achieved when using a feed rate of 0.05 mm/rev and a spindle speed of 700r/min with both types of drill bits.
JOURNAL OF INDUSTRIAL TEXTILES
(2022)
Article
Materials Science, Composites
Yun Zhang, Xiaojie Xu
Summary: CFRP is widely used in aircraft structural applications due to its superior properties, but drilling-induced delamination is a major concern. In this study, a GPR model is developed to predict delaminations in CFRP composites during drilling, which, combined with the Taguchi method, can provide faster optimization of machining processes with more quantitative data extracted from fewer experimental trials.
JOURNAL OF COMPOSITE MATERIALS
(2021)
Article
Polymer Science
Katarzyna Biruk-Urban, Paul Bere, Jerzy Jozwik
Summary: The aim of this research was to investigate the relationship between selected technological drilling parameters and cutting forces and the delamination in machining of a new glass-fiber-reinforced polymer composite. Experimental and simulation results revealed that the feed per tooth had the greatest impact on delamination, and the delamination factors varied for different fiber types of the materials.
Article
Polymer Science
Sharizal Ahmad Sobri, Robert Heinemann, David Whitehead
Summary: This article discusses the feasibility of sequential laser-mechanical drilling for thick CFRP composites. The method was found to reduce overall thrust and torque by an average of 61%, increasing productivity and extending the lifespan of cutting tools. The laser-mechanical sequence drilling technique showed the highest delamination factor ratios for both drill bits and laser pre-drilling techniques.
Article
Materials Science, Composites
Christina Buggisch, Dennis Gibhardt, Mareile Kern, Bodo Fiedler
Summary: This paper presents a method for the detection and size estimation of impact damages in glass fiber reinforced polymers. Capacitance measurements between carbon fiber bundles are used to detect the damages, and the magnitude of capacitance decrease is used for size estimation.
COMPOSITES COMMUNICATIONS
(2022)
Article
Materials Science, Textiles
Gokul Kannan, Rajasekaran Thangaraju
Summary: This study evaluated the drilling performance of polyester composites reinforced with banana fiber and fly ash filler. The results showed that the minimum thrust force, surface roughness, and delamination factor could be achieved by adjusting the feed rate, cutting speed, and filler content. This research provides machining insights for agro-industrial waste-based polymer composites in structural applications.
JOURNAL OF INDUSTRIAL TEXTILES
(2022)
Article
Automation & Control Systems
Ali Unuvar, Murat Koyunbakan, Mehmet Bagci
Summary: The study focused on the optimization of machining parameters and their effects on delamination during drilling of pure GFRP composites and added GFRP composites with SiO2 and Al2O3. It was found that the delamination factors were larger in the added GFRP composites. Material was determined to have a greater influence on delamination than cutting parameters in the study considering material as a variable.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Manufacturing
F. Javanshour, A. Prapavesis, N. Pournoori, G. C. Soares, O. Orell, T. Parnanen, M. Kanerva, A. W. Van Vuure, E. Sarlin
Summary: This article introduces stiff and tough biocomposites prepared by in-situ polymerisation of poly (methyl methacrylate) and ductile non-dry flax fibres. The results show that composites processed with non-dry fibres have comparable shear strength but higher elongation at failure and toughness compared to composites processed with oven-dried fibres. Additionally, non-dry flax fibres significantly increase the perforation energy of flax-PMMA composites under low-velocity impact. The study also investigates the effect of non-dry fibres on fatigue life and failure mode of the composites.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2022)
Article
Engineering, Manufacturing
Amalia Katalagarianakis, Efstratios Polyzos, Danny Van Hemelrijck, Lincy Pyl
Summary: This study experimentally investigates the delamination behavior of carbon fiber-reinforced polyamide laminates under different loading modes. The interlaminar fracture toughness at crack initiation was found to be 1.5 kJ/m2 in mode I, 2.1 kJ/m2 in mode II, and 1.0 kJ/m2 in mixed mode I-II. Various analytical and numerical models were used to validate the experimental results, and scanning electron microscopy revealed the micro-mechanical origins of the crack in different loading configurations.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2023)
Article
Mechanics
Liaojun Yao, Mingyue Chuai, Zhangming Lyu, Xiangming Chen, Licheng Guo, R. C. Alderliesten
Summary: Methods based on fracture mechanics have been widely used in fatigue delamination growth (FDG) characterization of composite laminates. This study proposes appropriate similitude parameters to represent FDG behavior with different R-ratios.
ENGINEERING FRACTURE MECHANICS
(2024)
Article
Materials Science, Textiles
Burak Ozdemir, Ahmet Yardimeden, Erkan Bahce, Erol Kilickap, Ender Emir
Summary: In this study, the effects of thrust force, vibration, and temperature changes on hole quality were investigated for natural jute composite materials. The statistical analysis using ANOVA method revealed that feed had a significantly greater impact on thrust force compared to spindle speed. Vibration was found to be largely affected by feed, while temperature was influenced by both feed and speed. Additionally, it was observed that roughness was mainly influenced by speed, vibration, and temperature.
JOURNAL OF NATURAL FIBERS
(2023)
Review
Materials Science, Textiles
Khurshid Malik, Faiz Ahmad, Ebru Gunister
Summary: This paper reviews the past and present research studies of the drilling behavior of NFRCs and their hybrids, exploring various drilling techniques and parameters, as well as analyzing drill bit geometry and materials. The study highlights methods of improving drilling properties for these composites, including chemical treatment of natural fibers and optimizing drilling performance parameters.
JOURNAL OF NATURAL FIBERS
(2022)
Article
Thermodynamics
Samy Yousef, Justas Eimontas, Nerijus Striugas, Mohammed Ali Abdelnaby
Summary: The study aims to investigate the impact of additives on the pyrolysis behavior of GFRP, with CB filler acting as a self-catalyst during the process, leading to increased yield and improved quality of volatile compounds.
Article
Chemistry, Physical
Chander Prakash, Alokesh Pramanik, Animesh K. Basak, Yu Dong, Sujan Debnath, Subramaniam Shankar, Sunpreet Singh, Linda Yongling Wu, Hongyu Y. Zheng
Summary: This research explores the potential of using adhesive tapes during drilling of CFRPs, studying various input parameters and their effects on thrust force, torque, circularity, diameter error, surface roughness, and delamination. Findings show that point angle and Scotch tape layers are critical in affecting delamination mechanism, with other parameters such as drill bit diameter, spindle speed, and feed rate also impacting machining quality.
Article
Environmental Sciences
Laurence Hopkinson, Stanislav Ostapishin, Petra Kristova, Katy Hamilton, Corina Ciocan
Summary: This study provides a molecular and elemental analysis of GRP recovered from the marine environment, indicating that aged GRP in the marine environment can release micro (<5 mm) and macro plastic, as well as fragmented asbestiform-like silicate fibers.
MARINE POLLUTION BULLETIN
(2021)
Article
Materials Science, Composites
Erol Kilickap, Ahmet Yardimeden, Yahya Hisman Celik
SCIENCE AND ENGINEERING OF COMPOSITE MATERIALS
(2015)
Article
Engineering, Mechanical
Yahya Hisman Celik, Erol Kilickap, Musa Guney
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2017)
Article
Materials Science, Characterization & Testing
Erol Kilickap
Article
Chemistry, Multidisciplinary
Erol Kilickap, Ahmet Yardimeden, Yahya Hisman Celik
APPLIED SCIENCES-BASEL
(2017)
Article
Chemistry, Multidisciplinary
Burak Yenigun, Erol Kilickap
APPLIED SCIENCES-BASEL
(2018)
Article
Automation & Control Systems
Yahya Hisman Celik, Erol Kilickap, Nihayet Kocyigit
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2019)
Article
Materials Science, Composites
Yahya H. Celik, Erol Kilickap, Ali Imran Kilickap
JOURNAL OF COMPOSITE MATERIALS
(2019)
Article
Materials Science, Ceramics
Yahya Hisman Celik, Erol Kilickap
POWDER METALLURGY AND METAL CERAMICS
(2019)
Article
Materials Science, Characterization & Testing
Mehmet Emin Demir, Yahya Hisman Celik, Erol Kilickap
Article
Engineering, Mechanical
Yahya Hisman Celik, Mehmet Emin Demir, Erol Kilickap, Ali Kalkanli
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2020)
Article
Materials Science, Textiles
Yahya Hisma Celik, Rojin Yalcin, Tolga Topkaya, Eyup Basaran, Erol Kilickap
Summary: In this study, hazelnut, pistachio, and apricot kernel shells were analyzed for their chemical and structural properties, and their impact on the physical, thermal, and mechanical properties of polyester matrix composites was studied. The addition of powder particles at low rates was found to have a positive effect on bending and compressive strength of the matrix material.
JOURNAL OF NATURAL FIBERS
(2021)
Article
Materials Science, Multidisciplinary
Edip Cetkin, Yahya Hisman Celik, Erol Kilickap
Summary: The study on friction stir welding of AA7075 alloy pairs using conical- and triangular-type stirrer pins showed that low spindle speed and welding feed rates resulted in high surface temperatures, low vibrations, and partially high welding forces and moments. Comparing the microstructures of welded areas, it was found that the conical mixing pin produced better microstructure than the triangular mixing pin. Furthermore, it was observed that welded joints with good microstructure exhibited quite good mechanical properties, indicating that welding forces, temperature, and vibration values have an impact on microstructure and mechanical properties.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2021)
Article
Engineering, Mechanical
Burak Yenigun, Erol Kilickap
Summary: The study investigated the effect of drilling quality on the fatigue life of carbon fiber reinforced plastics (CFRP) with different fiber angles. It found that thrust force, deformation factor, and surface roughness increased with higher feed rates but decreased with higher spindle speeds. The best drilling quality was achieved with WC tool type at a spindle speed of 5000 rev/min and a feed rate of 0.05 mm/rev, while the worst quality was observed with Brad Spur tool type at a spindle speed of 1000 rev/min and a feed rate of 0.15 mm/rev. Decreasing drilling quality resulted in significant decreases in tensile force and fatigue life of CFRPs, with up to a 49% reduction.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2021)
Article
Engineering, Mechanical
Tolga Topkaya, Yahya Hisman Celik, Erol Kilickap
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2020)
Article
Engineering, Multidisciplinary
Mehmet Emin Demir, Yahya Hisman Celik, Erol Kilickap
JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI
(2019)
Review
Computer Science, Artificial Intelligence
Wei Gao, Shuangshuang Ge
Summary: This study provides a comprehensive review of slope stability research based on artificial intelligence methods, focusing on slope stability computation and evaluation. The review covers studies using quasi-physical intelligence methods, simulated evolutionary methods, swarm intelligence methods, hybrid intelligence methods, artificial neural network methods, vector machine methods, and other intelligence methods. The merits, demerits, and state-of-the-art research advancement of these studies are analyzed, and possible research directions for slope stability investigation based on artificial intelligence methods are suggested.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Khuong Le Nguyen, Hoa Thi Trinh, Saeed Banihashemi, Thong M. Pham
Summary: This study investigated the influence of input parameters on the shear strength of RC squat walls and found that ensemble learning models, particularly XGBoost, can effectively predict the shear strength. The axial load had a greater influence than reinforcement ratio, and longitudinal reinforcement had a more significant impact compared to horizontal and vertical reinforcement. The performance of XGBoost model outperforms traditional design models and reducing input features still yields reliable predictions.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Bo Hu, Huiyan Zhang, Xiaoyi Wang, Li Wang, Jiping Xu, Qian Sun, Zhiyao Zhao, Lei Zhang
Summary: A deep hierarchical echo state network (DHESN) is proposed to address the limitations of shallow coupled structures. By using transfer entropy, candidate variables with strong causal relationships are selected and a hierarchical reservoir structure is established to improve prediction accuracy. Simulation results demonstrate that DHESN performs well in predicting algal bloom.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Limin Wang, Lingling Li, Qilong Li, Kuo Li
Summary: This paper discusses the urgency of learning complex multivariate probability distributions due to the increase in data variability and quantity. It introduces a highly scalable classifier called TAN, which utilizes maximum weighted spanning tree (MWST) for graphical modeling. The paper theoretically proves the feasibility of extending one-dependence MWST to model high-dependence relationships and proposes a heuristic search strategy to improve the fitness of the extended topology to data. Experimental results demonstrate that this algorithm achieves a good bias-variance tradeoff and competitive classification performance compared to other high-dependence or ensemble learning algorithms.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Zhejing Hu, Gong Chen, Yan Liu, Xiao Ma, Nianhong Guan, Xiaoying Wang
Summary: Anxiety is a prevalent issue and music therapy has been found effective in reducing anxiety. To meet the diverse needs of individuals, a novel model called the spatio-temporal therapeutic music transfer model (StTMTM) is proposed.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Nur Ezlin Zamri, Mohd. Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin, Siti Syatirah Sidik, Alyaa Alway, Nurul Atiqah Romli, Yueling Guo, Siti Zulaikha Mohd Jamaludin
Summary: In this study, a hybrid logic mining model was proposed by combining the logic mining approach with the Modified Niche Genetic Algorithm. This model improves the generalizability and storage capacity of the retrieved induced logic. Various modifications were made to address other issues. Experimental results demonstrate that the proposed model outperforms baseline methods in terms of accuracy, precision, specificity, and correlation coefficient.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
David Jacob Kedziora, Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys
Summary: The paper addresses the problem of efficiently optimizing machine learning solutions by reducing the configuration space of ML pipelines and leveraging historical performance. The experiments conducted show that opportunistic/systematic meta-knowledge can improve ML outcomes, and configuration-space culling is optimal when balanced. The utility and impact of meta-knowledge depend on various factors and are crucial for generating informative meta-knowledge bases.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
G. Sophia Jasmine, Rajasekaran Stanislaus, N. Manoj Kumar, Thangamuthu Logeswaran
Summary: In the context of a rapidly expanding electric vehicle market, this research investigates the ideal locations for EV charging stations and capacitors in power grids to enhance voltage stability and reduce power losses. A hybrid approach combining the Fire Hawk Optimizer and Spiking Neural Network is proposed, which shows promising results in improving system performance. The optimization approach has the potential to enhance the stability and efficiency of electric grids.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Zhijiang Wu, Guofeng Ma
Summary: This study proposes a natural language processing-based framework for requirement retrieval and document association, which can help to mine and retrieve documents related to project managers' requirements. The framework analyzes the ontology relevance and emotional preference of requirements. The results show that the framework performs well in terms of iterations and threshold, and there is a significant matching between the retrieved documents and the requirements, which has significant managerial implications for construction safety management.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Yung-Kuan Chan, Chuen-Horng Lin, Yuan-Rong Ben, Ching-Lin Wang, Shu-Chun Yang, Meng-Hsiun Tsai, Shyr-Shen Yu
Summary: This study proposes a novel method for dog identification using nose-print recognition, which can be applied to controlling stray dogs, locating lost pets, and pet insurance verification. The method achieves high recognition accuracy through two-stage segmentation and feature extraction using a genetic algorithm.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Shaohua Song, Elena Tappia, Guang Song, Xianliang Shi, T. C. E. Cheng
Summary: This study aims to optimize supplier selection and demand allocation decisions for omni-channel retailers in order to achieve supply chain resilience. It proposes a two-phase approach that takes into account various factors such as supplier evaluation and demand allocation.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Jinyan Hu, Yanping Jiang
Summary: This paper examines the allocation problem of shared parking spaces considering parking unpunctuality and no-shows. It proposes an effective approach using sample average approximation (SAA) combined with an accelerating Benders decomposition (ABD) algorithm to solve the problem. The numerical experiments demonstrate the significance of supply-demand balance for the operation and user satisfaction of the shared parking system.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Review
Computer Science, Artificial Intelligence
Soroor Motie, Bijan Raahemi
Summary: Financial fraud is a persistent problem in the finance industry, but Graph Neural Networks (GNNs) have emerged as a powerful tool for detecting fraudulent activities. This systematic review provides a comprehensive overview of the current state-of-the-art technologies in using GNNs for financial fraud detection, identifies gaps and limitations in existing research, and suggests potential directions for future research.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Review
Computer Science, Artificial Intelligence
Enhao Ning, Changshuo Wang, Huang Zhang, Xin Ning, Prayag Tiwari
Summary: This review provides a detailed overview of occluded person re-identification methods and conducts a systematic analysis and comparison of existing deep learning-based approaches. It offers important theoretical and practical references for future research in the field.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Jiajun Ma, Songyu Hu, Jianzhong Fu, Gui Chen
Summary: The article presents a novel visual hierarchical attention detector for multi-scale defect location and classification, utilizing texture, semantic, and instance features of defects through a hierarchical attention mechanism, achieving multi-scale defect detection in bearing images with complex backgrounds.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
