EXTENDED ABSTRACT: Aviation aluminum alloy is the most important material in the aircraft body structure, and is a strategic material for national economic development and national defense construction. The research and development of high-performance aviation aluminum
alloy is of strategic significance to ensure the urgent need of national major models, promote the development of aviation aluminum alloy
system, and realize the manufacturing power. High performance aluminum alloy is widely used in aircraft skin, wing, stringer, partition
frame, floor beam, seat guide rail and other major structural parts. In the future, the requirements for material performance of aviation
equipment will continue to improve. The current aviation aluminum is difficult to meet the needs of future equipment development. It is
urgent to break through the comprehensive and collaborative improvement of high strength, high toughness, fatigue resistance and high damage resistance.In the design process of high-performance aluminum alloy, due to the complex interaction of elements, it is difficult to accurately design the composition, such as the mutual restriction of high strength and toughness, ultra-high alloying and low quenching
sensitivity of 7xxx thick plate, and the mutual restriction of high strength, damage resistance and ultimate solid solubility of 2xxx thin plate. The traditional trial-and-error method is difficult to design the alloy composition of multi-objective performance quickly and accurately. Based on the data-driven machine learning methods, the alloy composition range of multi-objective performance is screened; Combined with high-throughput phase diagram to calculate the refined composition, through trial production verification and iterative optimization, the composition prototype for high-performance aviation aluminum alloy is provided.In this study, based on the composition-processperformance data set and element physical characteristic quantity data set of 7xxx and 2xxx aluminum alloys, the key characteristic factors affecting the strength, toughness and stress corrosion resistance of the alloys were mined. The composition and performance prediction models of ultra-high strength and toughness 7xxx aluminum alloys, and high strength and damage resistance 2xxx aluminum alloys were constructed. The composition prototypes and performance targets of two types of high performance aluminum alloys were recommended; Through high-throughput phase diagram calculation, the composition and precipitation strengthening phase models of ultra-high strength and toughness 7xxx aluminum alloy and high strength and damage resistance 2xxx aluminum alloy were constructed. The composition prototypes and micro-structure targets of two kinds of high-performance aluminum alloys were recommended; Based on the preparation of alloy sheets in the laboratory, the composition and performance prediction models of ultra-high strength and toughness 7xxx aluminum alloy and high strength and damage resistance 2xxx aluminum alloy were verified.
Keywords: Aviation aluminum alloy, machine learning, high-throughput computing, composition design, performance prediction
Wang Guojun, PhD in Engineering, Chief Expert of China Aluminum Corporation, Secretary General of Advanced Aluminum Alloy Collaborative Innovation Alliance, Expert with Special Government Allowance from the State Council, selected for the National Major Talent Program. Formerly served as the Director of the National Technical Center of Northeast Light Alloy Co., Ltd, Deputy Chief Engineer of Northeast Light Alloy Co., Ltd, and Vice President of China Aluminum Materials Institute. Hosted more than 10 national key research and development projects, national supporting projects, and led teams to solve major bottleneck technical problems in several countries and industries. The expert in the evaluation of the National Science and Technology Award, Vice Chairman of the Alloy Processing Academic Committee of the China Nonferrous Metals Society, Director of the China Nonferrous Metals Society, Vice Chairman of the Light Metals Committee, Member of the National Standard Nonferrous Metals Committee, and Member of the Aviation IndustryStandardization Technical Committee; Experts in the evaluation of scientific research projects and talent plans of the Ministry of Science and Technology and the Ministry of Industry and Information Technology. Doctoral supervisors at universities such as Central South University, Harbin Engineering University, and Beijing University of Science and Technology.. Current main research directions include design and development of high-performance aluminum alloys, applicationand promotion of digital research and development methods, development of low-carbon recyclable aluminum alloys, research and application of advanced aluminum alloys under the background of new quality productivity, etc.In recent years, he has published 140 academic papers and technical reports, published 5 monographs, obtained 45 authorized patents, drafted or participated in the formulation and revision of more than 60 aluminum alloy standards, won 1 second prize for National Science and Technology Progress Award, 1 first prize for National Defense Science and Technology Progress Award, winner of National Patent Excellence Award, 10 first prizes, 20 second prizes, and 23 third prizes for provincial and ministerial level science and technology awards.