Article
Engineering, Civil
Mehmet Alper Sofuoglu, Selim Gurgen
Summary: Unlike metals, polymers are highly affected by the heat generation during machining. This study investigated the effect of SiC fillers on the machinability of UHMWPE polymer composite. The results showed that SiC fillers can reduce cutting forces and cutting temperatures.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2022)
Article
Construction & Building Technology
Shuangyu Wei, Paige Wenbin Tien, Yupeng Wu, John Kaiser Calautit
Summary: Occupants' behavior and electrical equipment usage have a significant impact on building energy demand. This study proposes a real-time detection and recognition approach using deep learning and computer vision techniques to efficiently control building energy. Experimental results demonstrate high accuracy in equipment and occupancy detection, and a case study shows the influence of the approach on building energy demand. The results highlight the importance of monitoring real-time occupancy and electrical equipment usage and the advantages of using deep learning detection techniques to optimize building energy efficiency.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Automation & Control Systems
Renwei Wang, Song Zhang, Renjie Ge, Xiaona Luan, Jiachang Wang, Shaolei Lu
Summary: A modified cutting force prediction model was developed in this research considering the true trajectory of the cutting edge and in-process workpiece geometry in ball-end milling operation. The model uses a mechanistic approach to predict cutting force accurately.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Automation & Control Systems
Jingyang Feng, Zhaocheng Wei, Minjie Wang, Minglong Guo, Xueqin Wang
Summary: The paper introduces a force prediction model for U pass milling considering variable cutting thickness and multi-edge cutting. Through discretizing the tool path and handling the cutting edge, an effective prediction method is proposed. Experimental results show that the predicted model has good accuracy and prediction effectiveness in U pass milling.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Min Wan, Dan-Yang Wen, Wei-Hong Zhang, Yun Yang
Summary: The characteristic of low stiffness of micro mills leads to changes in tool deflections, resulting in deviations of actual cutting parameters such as cutting directions and trajectories. Existing studies have rarely considered the influence of these deviations on cutting forces. This article presents a theoretical method that predicts micro milling forces by incorporating the effects of tool deflections. The method derives analytical formulae for determining actual in-process cutting edge positions and instantaneous cutting directions based on tool deflections calculated using the cantilever beam theory. Experimental tests demonstrate the accuracy of the proposed method in predicting cutting forces and cutting edge trajectories compared to classic models that do not consider changes in cutting directions caused by tool deflections.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Engineering, Electrical & Electronic
Guilherme Holsbach Costa, Vangelis Cavalin Garcez, Giovane Costa da Silva, Rodrigo Panosso Zeilmann
Summary: A new optical measurement method is proposed in this study to measure the radius of the cutting edge of a tool. The analysis of performance shows that a laser beam with a thickness greater than 1.3r cannot accurately measure the radius r. The validity of the proposed method is demonstrated by comparing it with results obtained from a profile projector.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Computer Science, Artificial Intelligence
Thomas Heitz, Ning He, Addi Ait-Mlouk, Daniel Bachrathy, Ni Chen, Guolong Zhao, Liang Li
Summary: Accurate prediction of cutting forces is crucial in milling operations. This study explores the effectiveness of the eXtreme Gradient Boosting algorithm in predicting cutting forces during down-milling of Al2024 and proposes a novel framework to optimize precision, efficiency, and user-friendliness. The results show that the eXtreme Gradient Boosting model outperforms the traditional mechanistic force model and can capture the runout effect.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Automation & Control Systems
Jia Xuan Li, Bo Zhou, Lun Li, Ji Bin Zhao, Guang Zhu, Ming Cai
Summary: This paper proposes a new method for analyzing the texture features of polished surfaces based on co-occurrence matrix, which accurately describes and analyzes the texture features. This method can be used in the path planning stage, avoiding resource waste and being unaffected by image quality.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Forestry
Jyrki Savolainen
Summary: This paper proposes a method for tracking wooden veneer sheets by matching their wet and dry colour images. The method involves image segmentation, extraction of GLCM textural feature arrays, and similarity comparisons. A voting mechanism is introduced for determining the correct match, and an optional shifting procedure is applied for candidates with missing areas. The proposed method achieves a matching accuracy of 99.41% on a real-world dataset, outperforming previous studies and offering practical implications for automated veneer production facilities.
EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS
(2023)
Article
Computer Science, Artificial Intelligence
Aram Ter-Sarkisov
Summary: A novel framework that integrates lesion mask segmentation and COVID-19 prediction achieved high sensitivity and accuracy on the test split of the CNCB-NCOV dataset by introducing the concept of affinities for classifying the whole input image.
APPLIED SOFT COMPUTING
(2022)
Article
Computer Science, Interdisciplinary Applications
Hao Chen, Wei Li, Youyu Zhu
Summary: This study aimed to differentiate benign from malignant pulmonary nodules based on the improved GLCM algorithm and texture analysis technique. Various parameters and analysis methods were used, and the combination of NDA and FPM significantly reduced the MCR value, providing valuable reference for the early diagnosis of lung cancer.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Automation & Control Systems
Haifeng Ning, Hualin Zheng, Shigui Zhang, Xinman Yuan
Summary: This paper introduces a milling force model for CFRP multidirectional laminates based on segmented specific cutting energy, determining the CFRP specific cutting energy through experimentation and predicting milling force using the linear superposition principle. Experimental results validate the high accuracy of the model.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Amira Yousif, Samah Baraheem, Sai Surya Vaddi, Vatsa S. Patel, Ju Shen, Tam V. Nguyen
Summary: This study explores the use of machine learning techniques to predict house prices by considering visual cues and estate attributes. The authors collected a dataset of 3000 houses and used a convolutional neural network to extract features from visual images. Their multi-kernel deep learning regression model outperformed baseline models in predicting house prices.
MACHINE VISION AND APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Shuangquan Zuo, Yun Xiao, Xiaojun Chang, Xuanhong Wang
Summary: Transformers have shown impressive capabilities in computer vision, especially in dense prediction tasks. Their inherent properties allow for stable and high-resolution feature processing, satisfying the demands of fine-grained and globally coherent predictions. Compared to convolutional networks, transformers require minimal inductive bias and allow for long-range information interaction. This survey provides a comprehensive overview of transformer models, focusing on dense prediction, and explores optimization strategies and development directions.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Engineering, Mechanical
Yang Song, Huajun Cao, Da Qu, Qianyue Wang, Xuefeng Huang, Jin Zhang, Bo Wu, Lei Liu
Summary: In this study, a cutting force prediction model for carbon fiber reinforced polymer (CFRP) was established, taking into account both the impact effect and the size effect. The model considers factors such as chipping, pressing, impacting, and bouncing in the cutting regions and calculates the cutting force. The model was proven to have high prediction accuracy and revealed the significance of impact and size effect in the cutting mechanisms of CFRP.
INTERNATIONAL JOURNAL OF IMPACT ENGINEERING
(2023)
Article
Dentistry, Oral Surgery & Medicine
Shaymaa E. Elsaka, Ibrahim M. Hamouda, Yehia A. Elewady, Ossama B. Abouelatta, Michael V. Swain
Article
Dentistry, Oral Surgery & Medicine
Shaymaa E. Elsaka, Ibrahim M. Hamouda, Yehia A. Elewady, Ossama B. Abouelatta, Michael V. Swain
JOURNAL OF DENTISTRY
(2010)
Article
Engineering, Manufacturing
E. S. Gadelmawla, A. E. Eladawi, B. Abouelatta, I. M. Elewa
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2008)
Review
Energy & Fuels
Altaf Hussain Rajpar, Imran Ali, Ahmad E. Eladwi, Mohamed Bashir Ali Bashir
Summary: The development of vertical-axis wind turbines focuses on increasing power and torque coefficients by optimizing upstream wind, aiming to reduce negative torque and enhance positive torque. The installation of wind deflectors helps in reducing negative torque and enhancing positive torque, thus improving power generation efficiency.
Article
Robotics
A. H. Rajpar, Ahmad E. Eladwi, Imran Ali, Mohamed Bashir Ali Bashir
Summary: This paper presents the design and development of a reconfigurable three-degree-of-freedom articulated robot, along with conveniently composed mathematical models to position its arms. Through a manual control application, users can reconfigure the robot and move its arms to carry out pick-and-place tasks.
JOURNAL OF ROBOTICS
(2021)
Article
Materials Science, Multidisciplinary
R. Mohammed Abdallah, I. Mohammed Hammouda, M. Kamal, O. Badie Abouelatta, A. Abd El-Salamd
JOURNAL OF OVONIC RESEARCH
(2010)
Article
Engineering, Multidisciplinary
OB Abouelatta, A El-Bediwi, A Sakrana, XQ Jiang, L Blunt
MEASUREMENT SCIENCE AND TECHNOLOGY
(2006)
Article
Engineering, Industrial
OB Abouelatta, AA Abdel-Samad, AA Sakrana
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2005)
Article
Engineering, Industrial
OB Abouelatta, J Mádl
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2001)
Article
Engineering, Manufacturing
AE Eladawi, ES Gadelmawla, IM Elewa, AA Abdel-Shafy
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2003)