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On the wear mechanisms of uncoated and coated pcBN tools during turning of 17–4 PH martensitic stainless steel

International Journal of refractory Metals and Hard Materials 2025年 127卷

作者： Bjerke, A. Casas, J. Lenrick, F. Andersson, J.M. M'Saoubi, r. Bushlya, V. Division of Production and Materials Engineering Lund University Box 118 Lund22100 Sweden R&D Materials and Technology Development Seco Tools AB Fagersta737 82 Sweden

Polycrystalline cubic boron nitride (pcBN) is a very promising tool material for turning martensitic stainless steels at high cutting speeds (vc > 200 m/min). The competitive advantage of pcBN over cemented carbide increases as the cutting speed is increased. Changing the speed might lead to a shift in the wear balance and hence the knowledge about tool wear below vc = 200 m/min might not be applicable at vc = 600 m/min. The coatings designed for the lower speed range might also not be performing in the same way at higher speeds. This paper investigates the wear mechanism of uncoated and (Ti,Al)N coated pcBN tools when turning 17–4 PH in a hardened condition at speeds vc = 200–600 m/min. Both scanning and transmission electron microscopy are used to study the worn tools. The in-depth analysis reveals that adhesive wear is only active at low speeds. Increasing the speed does however lead to more wear by diffusion and oxidation. The cBN is preferentially worn out, leaving the TiC binder at the tool-chip interface. Oxidation results in the accelerated wear of the pcBN but also in the formation of metal oxides within the adhered build up layer. The (Ti,Al)N coating does not significantly extend the tool life within this speed range, but it suppresses the adhesive wear mechanism preventing premature tool failure. © 2024 The Author(s)

关键词： Cubic boron nitride

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Exosomes: Emerging implementation of nanotechnology for detecting and managing novel corona virus-SArS-CoV-2

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Asian Journal of Pharmaceutical Sciences 2022年第1期17卷 20-34页

作者： Akhilesh dubey Cynthia Lizzie Lobo ravi GS Amitha Shetty Srinivas Hebbar Sally AEl-Zahaby Department of Pharmaceutics NGSM Institute of Pharmaceutical SciencesNitte(Deemed to be University)Mangaluru 575018India Formulation and Development Viatris R&D CentreBengaluru 560105India Department of Pharmaceutics and Pharmaceutical Technology Faculty of PharmacyPharos University in AlexandriaAlexandria 21311Egypt

The spread of SArS-CoV-2 as an emerging novel coronavirus disease (COVId-19) had progressed as a worldwide pandemic since the end of 2019. COVId-19 affects firstly lungs tissues which are known for their very slow regeneration. Afterwards, enormous cytokine stimulation occurs in the infected cells immediately after a lung infection which necessitates good management to save patients. Exosomes are extracellular vesicles of nanometric size released by reticulocytes on maturation and are known to mediate intercellular communications. The exosomal cargo serves as biomarkers in diagnosing various diseases;moreover, exosomes could be employed as nanocarriers in drug delivery systems. Exosomes look promising to combat the current pandemic since they contribute to the immune response against several viral pathogens. Many studies have proved the potential of using exosomes either as viral elements or host systems that acquire immune-stimulatory effects and could be used as a vaccine or drug delivery tool. It is essential to stop viral replication, prevent and reverse the massive storm of cytokine that worsens the infected patients’ situations for the management of COVId-19. The main benefits of exosomes could be;no cells will be introduced, no chance of mutation, lack of immunogenicity and the damaged genetic material that could negatively affect the recipient is avoided. Additionally, it was found that exosomes are static with no ability for in vivo reproduction. The current review article discusses the possibilities of using exosomes for detecting novel coronavirus and summarizes state of the art concerning the clinical trials initiated for examining the use of COVId-19 specific T cells derived exosomes and mesenchymal stem cells derived exosomes in managing COVId-19.

关键词： Exosomes COVId-19 Specific T cell-derived exosomes Mesenchymal stem cells-derived exosomes Nanotechnology SArS-Co V-2

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Three-point Bending Test Method Experimental Study for Package Strength and Crack Prediction through Finite Element Analysis

Three-point Bending Test Method Experimental Study for Packa...

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International Conference on (ICEPT) Electronic Packaging technology

作者： Minyan Wu Yunpeng Shang Tingzuo Tan Yonghua Zhou Packaging Technology Development Team Samsung Semiconductor(China)R&D CO. LTD Suzhou China

In recent years with the thinner, smaller, higher-density stack trend for package (PKG) design, the package crack risk becomes higher and higher in the assembly process and reliability tests. Therefore, it is crucial to establish an effective method to measure and predict package strength. The three-point bending (3PB) test is widely used to evaluate package strength. However, detailed parameters of the 3PB test vary among different manufacturers, making it difficult to compare data. Here, the main impact factors and mechanisms were evaluated to demonstrate the impact of 3PB test parameters on data. Additionally, a package strength prediction method was established using ANSYS software and Python based on epoxy mold compound (EMC) fracture. results showed that the placement direction determined how the package crack and internal chips cracked before EMC instead of simultaneous fracture when the indenter was parallel to the package`s long side. Both crack force and strain were changed by more than 20% when one of the indenter sizes, span, or pre-treatment was altered greatly. The effect of speed and strain gage type on the test results was less than 10%. Furthermore, 3PB finite element models were set up, in which boundary setting was solder ball side towards up, short side parallel to indenter, φ0.6mm indenter size, and 12mm span without pre-treatment. The crack force of a typical same-die structure package was predicted through iterations, starting with an initial load value of 100Nton and increments of 5Nton. It was observed that EMC and chips broke simultaneously under the setting test conditions, with the EMC fracture threshold of 130MPa adopted as the criterion for terminating iterations. The highest prediction accuracy of package 3PB strength was 92%, which assists in package crack risk management and provides guidance for future structured design.

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PepINVENT: Generative peptide design beyond the natural amino acids

arXiv

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arXiv 2024年

作者： Geylan, Gökçe Janet, Jon Paul Tibo, Alessandro He, Jiazhen Patronov, Atanas Kabeshov, Mikhail david, Florian Czechtizky, Werngard Engkvist, Ola de Maria, Leonardo BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Division of Systems and Synthetic Biology Department of Life Sciences Chalmers University of Technology Gothenburg Sweden BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Medicinal Chemistry Research and Early Development BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Department of Computer Science and Engineering Chalmers University of Technology University of Gothenburg Gothenburg Sweden

Peptides play a crucial role in the drug design and discovery whether as a therapeutic modality or a delivery agent. Non-natural amino acids (NNAAs) have been used to enhance the peptide properties from binding affinity, plasma stability to permeability. Incorporating novel NNAAs facilitates the design of more effective peptides with improved properties. The generative models used in the field, have focused on navigating the peptide sequence space. The sequence space is formed by combinations of a predefined set of amino acids. However, there is still a need for a tool to explore the peptide landscape beyond this enumerated space to unlock and effectively incorporate de novo design of new amino acids. To thoroughly explore the theoretical chemical space of the peptides, we present PepINVENT, a novel generative AI-based tool as an extension to the small molecule molecular design platform, rEINVENT. PepINVENT navigates the vast space of natural and non-natural amino acids to propose valid, novel, and diverse peptide designs. The generative model can serve as a central tool for peptide-related tasks, as it was not trained on peptides with specific properties or topologies. The prior was trained to understand the granularity of peptides and to design amino acids for filling the masked positions within a peptide. PepINVENT coupled with reinforcement learning enables the goal-oriented design of peptides using its chemistry-informed generative capabilities. This study demonstrates PepINVENT’s ability to explore the peptide space with unique and novel designs, and its capacity for property optimization in the context of therapeutically relevant peptides. Our tool can be employed for multi-parameter learning objectives, peptidomimetics, lead optimization, and variety of other tasks within the peptide domain. © 2024, CC BY.

关键词： Amino acids

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Improving Waste-Incineration Energy recovery Efficiency Using a reverse Calculation Algorithm to Estimate Waste Composition and Heating Value

SSRN

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SSrN 2024年

作者： Lim, Minseob Kim, Seongil Lee, Youngjae Lee, Yongwoon Yang, Won Low-Carbon Emission Control R&D Department Research Institute of Sustainable Development Technology Korea Institute of Industrial Technology Chungcheongnam-do Cheonan Korea Republic of

Waste incineration has emerged as an increasingly important method for treating waste, ensuring stable waste disposal and offering the advantage of producing and utilizing thermal energy from the incineration process, thereby reducing reliance on fossil fuels. Understanding the composition and heating value of waste is important to ensure efficient waste management. However, information on waste composition and heating vary widely. Currently, in waste incinerator facilities, the heating value of waste is calculated;however, this method cannot ensure the accuracy of the overall application of incinerator facilities. To address this, this study calculated waste-related parameters (for heating value and composition) via an integrated reverse calculation algorithm, using real-time operational data. Using these values, we enhanced the accuracy of energy recovery efficiency calculations by developing a simulation model for the target system. Based on the model, we propose an operational improvement to increase the energy recovery efficiency of the target waste-incinerator system. Using the proposed method, energy recovery efficiency increased by approximately 10% relative to that of the existing incinerator operation. The methodology developed in this study can be applied to various incinerator systems. Our study findings contribute to the more accurate determination of energy recovery efficiency necessary for the effective implementation of waste-management policy in South Korea. © 2024, The Authors. All rights reserved.

关键词： Waste incineration

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A 3d attention U-Net network and its application in geological model parameterization

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Petroleum Exploration and development 2023年第1期50卷 183-190页

作者： LI Xiaobo LI Xin YAN Lin ZHOU Tenghua LI Shunming WANG Jiqiang LI Xinhao AI Research Center Research Institute of Petroleum Exploration and DevelopmentPetroChinaBeijing 100083China Artificial Intelligence Technology R&D Center for Exploration and Development CNPCBeijing 100083China Department of Oilfield Development Research Institute of Petroleum Exploration and DevelopmentPetroChinaBeijing 100083China

To solve the problems of convolutional neural network–principal component analysis(CNN-PCA)in fine description and generalization of complex reservoir geological features,a 3d attention U-Net network was proposed not using a trained C3d video motion analysis model to extract the style of a 3d model,and applied to complement the details of geologic model lost in the dimension reduction of PCA method in this *** 3d attention U-Net network was applied to a complex river channel sandstone reservoir to test its *** results show that compared with CNN-PCA method,the 3d attention U-Net network could better complement the details of geological model lost in the PCA dimension reduction,better reflect the fluid flow features in the original geologic model,and improve history matching results.

关键词： reservoir history matching geological model parameterization deep learning attention mechanism 3d U-Net

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research on Business Center Monitoring System Based on Business Emergency System of Power Grid Company 5

Research on Business Center Monitoring System Based on Busin...

引用

5th International Conference on System reliability and Safety Engineering, SrSE 2023

作者： Kang, Kai Liu, Yi Yi Zhang, Li Shou Bi, Qing He, Li Kui Zhang, Yuan Yuan State Grid Shanghai Electric Power Company Information and Communication Company Information Construction and Operation Center Shanghai China R&d Center Shanghai Xinneng Information Technology Development Company Shanghai China Shanghai Zimu Information Technology Company Business Analysis Department Shanghai China

ISBN: (纸本)9798350305944

The purpose of this paper is to introduce the research related to the business center monitoring system based on the emergency response system of the business center of the power grid company. The business monitoring of the business center determines to a certain extent the basis of the stable and continuous operation of the business center. Through the research on the business indicator monitoring system of the business platform emergency system, it can provide sufficient support for the business development of the power grid company. It can also provide assistance for the operation of various businesses and play a certain role in guiding. In this paper, through the overall architecture design and key technology research on the corresponding business indicator monitoring system of the business center, a complete set of business indicator monitoring system specifications based on the emergency system of the business center of the grid company is obtained. It will provide the basis and guidance for the actual construction of the subsequent system, reduce the system construction cycle and the uncertainty of the construction, as well as help the business center flexibly and quickly adapt to the changes of the business development. Meanwhile, it will also help the business center adapt flexibly and quickly to business development changes. © 2023 IEEE.

关键词： Specifications

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A proposal on dynamic bandwidth allocation for one-dimensionally moving mobile entities 39

A proposal on dynamic bandwidth allocation for one-dimension...

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39th International Conference on Information Networking, ICOIN 2025

作者： Tachikawa, Yuta Hatanaka, Yuki Murakami, ryo Yokotani, Tetsuya Minemo, Hiroshi Kozaki, Seiji Suehiro, Takeshi Nakura, Kenichi Tani, Shigenori Kanazawa Institute of Technology Graduate School of Engineering Department of Electrical and Electronic Engineering Ishikawa Japan Kanazawa Institute of Technology Department of Technology Department of Electrical and Electronic Engineering Ishikawa Japan Shizuoka University Graduate School of Science and Technology Shizuoka Japan Information Technology R&D Center Mitsubishi Electric Corporation (Development Division) Kanagawa Japan

ISBN: (纸本)9798331506940

recent years, with the introduction of 5th generation mobile communication networks, bursty traffic and upstream traffic characteristics have changed significantly. The deployment of small cells and passive optical networks for highspeed broadband services are considered. Passive optical network technology can apply to multiplex many small cells. The authors have proposed BCOM as a bandwidth control scheme for uplink traffic and have carried out bandwidth allocation, assuming the case where mobile vehicles pass according to schedule. In this paper, BCOMs evaluate assuming that mobile vehicles do not arrive on schedule. © 2025 IEEE.

关键词： 5th Generation Mobile Communication System Bandwidth control broadband mobile infrastructure optical access Passive Optical Network

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Hox-determined appendage regeneration restores cockroach courtship rituals

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Science China(Life Sciences) 2025年第3期68卷 874-876页

作者： Xingmei Mai Mingtao Liao Fangming Zhao Ethan Yihao Li Fangzheng Liu renaguli Aisa Sichen Wu Nan Chen Sheng Li Chonghua ren Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology Guangzhou Key Laboratory of Insect Development Regulation and Application ResearchInstitute of Insect Science and TechnologySchool of Life SciencesSouth China Normal UniversityGuangzhou 510631China Guangmeiyuan R&D Center Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied TechnologySouth China Normal UniversityMeizhou 514779China High School Affiliated to South China Normal University Guangzhou 510631China Xinyang Aviation Vocational College Xinyang 464006China

dear Editor,The German cockroach,Blattella germanica(Insecta,Blattodea),is one of the most synanthropic cosmopolitan pests affecting public health,which is often described as“little mighty”because of its extreme vitality and *** characterization in cockroaches is primarily due to two crucial biological traits,strong regenerative capacity and excellent fecundity(ren et al.,2023),but nothing is known about the underlying relationship between these two traits in terms of physiology and *** have evolved diverse appendages(***,labial palp,maxillary palp,leg,wing,and cercus)that are used for locomotion,feeding,communication,and other vital functions(Chen et al.,2022;Li et al.,2024).As a crucial adaptive strategy,appendage regeneration enables animals to restore injured body parts and their associated functions(Tanaka,2016),significantly enhancing survival ability and ecological adaptation(Zhong et al.,2023).Moreover,cockroaches exhibit extremely prominent capacity of leg regeneration in the insect kingdom(Li et al.,2018;ren et al.,2024;Zhang et al.,2024).

关键词： traits antenna regeneration

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Improving Customer Experience Using a Hybrid decision Tree and Support Vector Machine Approach 1

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7th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： ravisankar, A. Kumaraperumal, S. Karthikeyan, M. Chohan, Jasgurpreet Singh Kalita, Kanak Department of Management Studies Erode Sengunthar Engineering College Erode India CVV Institute of Science and Technology Chinmaya Vishwa Vidyapeeth Onakoor Kerala Emakulam India Department of Business Administration Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi 600062 India Department of Mechanical Engineering University Centre for Research & Development Chandigarh University Mohali140413 India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi600062 India Jadara University Research Center Jadara University Irbid Jordan

ISBN: (数字)9783031508875

ISBN: (纸本)9783031508868

In the competitive telecommunications sector, enhancing customer experience (CE) is crucial for business success. The Net Promoter Score (NPS) is a key indicator of customer loyalty and satisfaction. To boost CE, operators monitor Quality of Experience (QoE) metrics, such as call drop rates, successful installation rates, and data transmission speeds, to identify and address service shortcomings. However, analyzing the primary drivers of NPS remains challenging. This study introduces a hybrid approach combining decision trees (dT) and support vector machines (SVM) to advance CE in telecommunications. This method utilizes SVM for predictive modeling of CE and dT to determine the significant factors affecting it. Customer satisfaction data from a telecommunications provider validates the proposed hybrid model's effectiveness. results demonstrate the model's ability to accurately predict CE and identify essential influencing factors, offering practical implications for companies aiming to enhance customer satisfaction and overall CE. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Sales

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