Page 53 - Plastics News Issue May 2025
P. 53
BUSINESS NEWS
Smart Manufacturing: Precision Heat
Control via Mechatronics and ML
constraints of affiliation function selection and
fuzzy rule formulation. This function iteratively
echatronics technology (MT) and im- updates the position and velocity of particles to
proved machine learning (ML) algo- find their most optimal values. This study pro-
Mrithms improve rubber and plastic man- posed an improved particle swarm optimiza-
ufacturing temperature control. tion (IPSO) algorithm. When combined with the
FPIDCA, this forms the IPSO-FZPID temperature
Demand for rubber and plastic products has in- control algorithm.
creased sharply. Temperature control systems
(TCS) are a vital part of the manufacturing pro- Mechatronics combines mechanical engineering
cess for these products. Because of the char- and automation to better optimize mechanical
acteristics of these materials, temperature con- devices using electronic components. In the rub-
trol is difficult to describe and predict through ber and plastics industry, the circulating TCS is
mathematical modeling. Issues like temperature mainly comprised of six modules. These include
lag, high energy consumption, and complicated temperature acquisition, temperature control,
operation add difficulties to creating an effective actuator, and circulating cooling modules. In this
TCS. study, researchers used a low-pass filter to re-
duce sensor noise’s effect on the temperature
Particle Swarm Optimization
data. Additionally, using a monitoring module al-
This new fuzzy PID control algorithm (FPIDCA) lows the system to detect abnormal conditions
technique uses fuzzy logic (FL) and conventional so the system can enact protective measures.
PID control strategies. Due to many changing These six modules work together to precisely
variables, PID control can struggle to control cir- control temperature during rubber and plastic
culating TCS in rubber and plastics manufactur- processing.
ing adequately. FL can change the PIDC settings Promising Results for Industry Application
online, helping to accommodate these changes.
During simulation, researchers found that the
Researchers introduced a particle swarm op- novel TCS could quickly restore stability and
timization (PSO) algorithm to counteract the
May 2025 PLASTICS NEWS 53
