East China University associate professor Wang right: Materials genetic engineering methods for high temperature resin designed to make progress
High temperature resin due to the advantages of lightweight, high strength, and has been widely used in the aerospace field. At present, although the preparation of materials such as carbon fiber reinforced made considerable progress, but the development is still lagging behind supporting the resin, the limiting properties of composites to enhance the bottleneck. Since 1909 phenolic resin commercialized so far,has been developed over 100 years from the birth of a lot of good resin systems, temperature also increased from the original 100 ℃ to the current mainstream 400 ℃. The current question is: Use the temperature of the resin can further increase the length, resin turnover rate can speed up a little longer, in order to further meet the needs of the aerospace field? In addition, from the process point of view, should be as to reduce the curing temperature of the resin, to improve processing performance. However, the design of the prevalence of thermosetting resins to improve heat resistance and lower curing temperature contradictory phenomena, like fish and bear\’s paw can not have both, for the high-temperature resin designed to bring great difficulties. Recently, East China University Professor Lin Jiaping team made a breakthrough in the design of high temperature resistant resin , established for high genomic properties of the polymer material design method, greatly accelerated the development rate of the resin, the material is expected to change the traditional design trial and error based method. The work \”Rational Design of Heat-Resistant Polymers with LowCuring Energies by a Materials Genome Approach\” was published important publications in the field of materials chemistry Chem.Mater (DOI:. /10.1021 /acs.chemmater.0c00238). Development of genetic engineering material comprising a gene defined, in combination with the collection, performance prediction, structural optimization, the performance verification step.
1 gene defining, collecting and combinations thereof.
In principle, any atom or chemical group can serve as gene combinations, the thus obtained polymer is often difficult to synthesize. To enhance the feasibility of synthesis, synthesis of definedGenes chemical monomers, and combination of filters.
2. The performance prediction.
is the basis for rapid screening performance prediction, but there is currently no agent model and predict the thermal stability of the curing temperature. Through data mining, agents can find a cure temperature thermal stability and physical quantities, for the rapid screening of good thermal stability, low curing temperature of the resin theoretical foundation.
3. Screening structure.
Because of the large number of candidate genes and the resin, the resin is preferably selected how quickly is an important problem to be solved. Proposed a \”coarse sieve first, and then featured\” two-step strategy, which is to lower the cost of computing the amount of the agent, by screening the first step, reducing the number of candidate resin, and then by calculating the amount of costly agency to find out preferably the resin, to improve the screening efficiency.
4. performance verification.
Through the above steps, the successful design of a new high temperature resin is obtained, the 5% thermal decomposition temperature greater than 650 ℃, the curing temperature is less than 250 deg.] C, short-term use is expected at 600 deg.] C and meet the art of aerospace demand for high-temperature resin. The doctoral work by the East China University of Zhu Junli , Master Chu Ming done in the right to associate professor Wang guidance. Work was Professor Lin Jiaping and well-known experts in the field of high-temperature resin Professor Du Lei of the full guidance, the \”indomitable spirit\” as the goal, both theoretical design method development, but also for practical applications demand, promote the development of polymer materials of high quality genetic engineering. References:…. Junli Zhu #, Ming Chu #, Zuowei Chen, Liquan Wang *, Jiaping Lin *, Lei Du Rational Design of Heat-Resistant Polymers with Low Curing Energies by a MaterialsGenome Approach Chem Mater 2020, DOI: / 10.1021 / acs.chemmater.0c00238 URL: https: //pubs.acs.org/doi/10.1021/acs.chemmater.0c00238