USE CASE ANALYSIS OF DIRECT PRESSURE AND TEMPERATURE SENSORS FOR INJECTION MOULDING TECHNOLOGY

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F24%3A00379415" target="_blank" >RIV/68407700:21220/24:00379415 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

USE CASE ANALYSIS OF DIRECT PRESSURE AND TEMPERATURE SENSORS FOR INJECTION MOULDING TECHNOLOGY

Popis výsledku v původním jazyce

This work explores the design, optimization, and practical implementation of direct pressure and temperature sensors for injection molding, focusing on mold design, sensor selection and placement, numerical simulations, and the proposal of ideal process parameters. The mold design incorporates optimization simulations to enhance efficiency and structural integrity, leading to modifications of the mould. Accurate data collection is ensured through the selection and ideal placement of direct pressure and temperature sensors. Numerical simulations provide insights into pressure and temperature profiles, informing the optimization of process parameters and revealing variations in injection pressure requirements for different materials. The proposed ideal process parameters for semi-crystalline PP MOSTEN GB 218, derived from simulation data, offer guidelines for achieving optimal molding conditions. This thesis contributes valuable knowledge to polymer engineering, providing practical solutions for mould design, sensor integration, and process optimization in injection molding.

Název v anglickém jazyce

USE CASE ANALYSIS OF DIRECT PRESSURE AND TEMPERATURE SENSORS FOR INJECTION MOULDING TECHNOLOGY

Popis výsledku anglicky

This work explores the design, optimization, and practical implementation of direct pressure and temperature sensors for injection molding, focusing on mold design, sensor selection and placement, numerical simulations, and the proposal of ideal process parameters. The mold design incorporates optimization simulations to enhance efficiency and structural integrity, leading to modifications of the mould. Accurate data collection is ensured through the selection and ideal placement of direct pressure and temperature sensors. Numerical simulations provide insights into pressure and temperature profiles, informing the optimization of process parameters and revealing variations in injection pressure requirements for different materials. The proposed ideal process parameters for semi-crystalline PP MOSTEN GB 218, derived from simulation data, offer guidelines for achieving optimal molding conditions. This thesis contributes valuable knowledge to polymer engineering, providing practical solutions for mould design, sensor integration, and process optimization in injection molding.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů