Optimization of the polymer coating unit's operation using CyberStudio software
CHEMICALS
Objective: Optimize the operation of the polymer coating unit using CyberStudio software Tasks:
Multiple calculations of the finite element model for strip coating on the paint coating unit using the ANSYS software suite
Developing a mathematical model for strip coating on the paint coating unit in CyberStudio software
Training the mathematical model based on the results of multiple calculations from the finite element model
Developing an optimization model for the strip coating process in CyberStudio software
Creating a recommender system aimed at optimizing paint consumption and roller rotation speed in order to achieve the desired coating thickness in CyberStudio software, based on the optimization model
Integrating specialized CyberStudio software into the client's infrastructure
Equipment: Polymer coating unit
Solution Creating mathematical models using CyberStudio software
Results
Mathematical model of the coating application process on the strip
Optimization model (in CyberStudio software) based on multiple calculations from the mathematical model
Recommendation system (in CyberStudio software) based on the optimization model, which determines the coating thickness based on a given set of input data
Results The recommendation system will determine the achieved coating thickness based on a given set of input data
Optimization of the chemical equipment operation
CHEMICALS
Objective: Optimization of the production of methylene chloride based on CyberPhysics solutions Tasks:
Data analysis
Development and training of a surrogate model
Detection of extreme deviations in the operation modes of key components
Preparation of recommendations based on the analysis of dependencies and model data
Technological Process: Production of methylene chloride
Solution Development and training of a mathematical model based on selected inputs and outputs in CyberStudio software
Results
Increased productivity
Improved product quality
Effects
Achieving >38 tons within 40% of the specified period (1 year) instead of 13%
Increase in the proportion of dichloromethane content in the mixture from 50% to 65%
Predictive diagnostics of technical condition and operating modes optimization of the vacuum crystallization equipment
CHEMICALS
Objective: Process optimization for elimination unfavorable operating conditions of the equipment Tasks:
Automatic processing of large amounts of data characterizing the technical condition of the equipment
Automatic detection of possible defects
Automatic detection of critical operating modes equipment
Ensuring the possibility of timely planning equipment repair
Equipment:
Centrifugal pumps
Screw pumps
Vacuum crystallizers
Steam jets
Capacitors
Heat exchangers
Pulp dividers
Capacities
Hydrocyclones
Mold pumps
Thickeners
Propeller pumps
Centrifuges
Vacuum pumps
Belt conveyors
Solution CyberStudio software with mathematical models of equipment and processes
Results
Minimization of production losses from unscheduled technical downtime
Automatic detection of equipment faults
Automatic calculation of the technical condition index equipment and systems