Artificial intelligence and advanced materials in automotive industry: Potential applications and perspectives

Kamran, Sayed Suhaib; Haleem, Abid; Bahl, Shashi; Javaid, Mohd; Prakash, Chander; Budhhi, Dharam

doi:10.1016/j.matpr.2022.04.727

Cited by 14 publications

(4 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…10), which correlates with the results of scientific research of the authors M. Bilal [58], J. A. P. Pereira [59], J. Jiang [60] and others;  a co-correlated taxonometric analysis regarding the integration of Industry Manimuthu [67], S. S. Kamran [68], R. Bogue [69] and others).…”

Section: Discussionsupporting

confidence: 67%

Automating the Assembly Process of Passenger Car Gearboxes

Filatov¹

2022

AJRCoS

View full text Add to dashboard Cite

Aims: The study aims to identify ways and potential solutions to automate the assembly and production process for passenger car gearboxes. Object of Research: Assembly and production process for car gearboxes. Subject of Research: Modern and evolutionary automation tools that have the potential to be implemented in the assembly processes of automotive transmission controls. Methodology: To achieve this goal, as part of this study, it is planned to apply methods of bibliometric analysis of leading scientometric databases to obtain correlation relationships and analytical conclusions regarding the vector of development of automation means of passenger car gearbox assembly process. Results: As a result of the research by means of scientometric analysis and correlation the vector of probabilistic technical solutions of integration and development of automation means of the sequence of production operations during the assembly of the transmission, as well as adaptive framework-design solutions for the implementation of tools of the fourth iteration of industrial-industrial progress in the production processes of assembly of the studied technical control means and logical-technological connection of the elements of the transmission system, which affect the overall process of automotive manufacturization. Conclusion: The passenger car gearbox is a multi-component, complex system whose assembly is a complex multi-operational process, and given the high responsibility of this machine element, there is an urgent need to introduce modern automation tools into the assembly and production processes, which will significantly optimize global automatofactoring. The practical results of the present study consist in the formation of a focus scientometric database of profile data, identification of a potential vector of development of means and systems of automation of assembly-production operations, identification and formation of solutions for the implementation of modern means of automated production in the actual global automotive manufacturing, which allows to get the optimum ratio of production costs/quality of products by improving the manufacturability, productivity and flexibility of processes of assembly of multi-element and multi-component automotive systems and structures.

show abstract

Section: Discussionsupporting

confidence: 67%

Automating the Assembly Process of Passenger Car Gearboxes

Filatov¹

2022

AJRCoS

View full text Add to dashboard Cite

show abstract

“…The development of such materials is also in line with the trends of Industry 4.0, where we can find the concept of smart materials [2]. Smart materials have the unique ability to modify their properties in response to specific stimuli such as temperature [3], light, pressure [4], and magnetic or electric fields [5]; this versatility and adaptability of smart materials [6] make them increasingly popular in various fields compared to conventional materials [7][8][9].…”

Section: Introductionmentioning

confidence: 83%

Complex Analysis of an Auxetic Structure under Compressive Loads

2023

View full text Add to dashboard Cite

Cellular structures subjected to compressive loads provide a reliable solution for improving safety. As a member of cellular material, auxetic metamaterials can enhance performance according to the definition of the negative Poisson ratio. In conjunction with Rapid Prototyping by Additive Manufacturing methods, complex structures can be manufactured using a wide range of materials. This paper debuts the development process of a reliable material model that is useful for the numerical simulation, and further details and investigates the performance indicators of an auxetic structure, namely anti-tetra-chiral. These indicators are related to the force developed during the plateau stage, the length of the plateau stage, and the nominal dimensions of the structure to avoid buckling during compression. Two new indicators discussed in this paper aim to provide a complete set of performance indicators. The first analytical solution provides the displacement of the circular nodes during the compression. The second analytical solution estimates the strain developed in the ligaments. Considering the performance of the processed material, this analysis aims to determine whether the structure can develop the complete plateau stage or whether premature failure will occur.

show abstract

“…In the digital economy 3.0 era, the automobile industry revolves around data element taken as the basic resources and production factors. With the development of artificial intelligence [5], block chain [6], cloud computing [7], big data [8] and IoT [9] are increasingly mature, the core elements of the automotive industry chain will be integrated and coordinated [10], so as to realize the value resonance and efficiency promotion. Overall, automobile enterprises require clearly focusing on the data productivity and deeply exploring the value of data utilizing frontier technology, to accelerate the coordination of ecological resource and capture the future of digital intelligence.…”

Section: The Development Trend Of Automobile Industry In the Digital ...mentioning

confidence: 99%

Research on the construction of automobile big data governance system based on data 5W2H analysis model

Chu,

2024

International Conference on Communication, Information, and Digital Technologies (CIDT2024)

View full text Add to dashboard Cite

With the deep integration of big data in the automotive industry, and the increasingly prominent position of big data as a strategic resource, the value of data as a key element becomes more and more important, data circulation, data quality, data security and other issues are attracting more and more attention. For automobile enterprises, with the rapid growth of massive, multi-source and heterogeneous automobile big data, how to promote the efficient use of data and promote the digital transformation of enterprises through data governance is the current research focus. This paper uses "data 5W2H analysis model" to summarize and analyze how automobile enterprises carry out systematic data governance, and proposes the construction of automobile big data governance system from four aspects of data governance activities, organizational structure, institutional process and platform building. Based on the comprehensive inventory of the status quo of data assets, unified data standards and norms are adopted to improve the quality of data, ensure data security, make the data from disorderly to standardized and orderly.

show abstract

Artificial intelligence and advanced materials in automotive industry: Potential applications and perspectives

Cited by 14 publications

References 48 publications

Automating the Assembly Process of Passenger Car Gearboxes

Automating the Assembly Process of Passenger Car Gearboxes

Complex Analysis of an Auxetic Structure under Compressive Loads

Research on the construction of automobile big data governance system based on data 5W2H analysis model

Contact Info

Product

Resources

About