Abstracts Book - IMRC 2018

• SE5-P007
SIMULATION ON MOLDS FOR INJECTION PROCESSES WITH H13
HOT WORKING STEEL CHARACTERISTICS
Victor Hugo Mercado Lemus 1,2 , Hugo Arcos Gutiérrez 1 , Jan Mayén Chaires 1 , Maricruz
Hernández Hernández 3 , Raúl Pérez Bustamante 3 , Adriana del Carmen Gallegos Melgar 3 , Luis
Alberto Cáseres Díaz 1 , John Edison García Herrera 1 , Noé Villa Villaseñor 1 , Isaías Emmanuel
Garduño Olvera 1 , Mayra del Angel Monroy 4
1 Consejo Nacional de Ciencia y Tecnologia - CONACYT, CIATEQ, Mexico. 2 Corporación Mexicana
de Investigación en Materiales S.A, COMIMSA, Mexico. 3 Consejo Nacional de Ciencia y
Tecnologia - CONACYT, COMIMSA, Mexico. 4 CIATEQ, Plásticos y Materiales Avanzados, Mexico.
Injection processes are one of the most attractive systems of transformation
materials in the manufactured industry, due to their application to produce
many components of metal and plastic. However, in many cases injection
processes are subject to different human errors, electrical and mechanical
faults, and others. In this context, many industries are becoming more efficient
and making used of the simulation methodology as the key for resolve these
problems. On the other hand, hot working steels commonly used on mold
applications for injection processes are difficult to fabricate or elaborate, due to
the different parameters related with injection processes such as: temperature,
expansion coefficients, contact pressure and others that many times are difficult
to calculate or determinate. Thus, many industries are using the simulation as
one of the solutions for resolve this scientific problem. The present work
analyses the applicability of simulation in the solution of problems that occurs
during injection processes on molds that used hot working steels (H11, H13,
etc.), one example with H13 characteristics is presented and the specific
solution is explained. The results are discussed in terms of the parameters
needed for a correct solution, the results suggest the importance of indicates
and determinate the correct parameters in order to have the best solutions.
Acknowledgment:
Authors would like to thank the National Council on Science and Technology
(Consejo Nacional de Ciencia y Tecnología -
México) for the support during the Cátedras proyect. The present research
project was also supported by the Consejo Potosino de Ciencia y Tecnología
(COPOCYT-México), Centro de Investigación Avanzada (CIATEQ-México) and
Corporación Mexicana de Investigación en Materiales (COMIMSA-México).