The Experts below are selected from a list of 687 Experts worldwide ranked by ideXlab platform

Elias Siores - One of the best experts on this subject based on the ideXlab platform.

  • An intelligent system for plastic Injection Molding process design
    Journal of Materials Processing Technology, 1999
    Co-Authors: K. Shelesh-nezhad, Elias Siores
    Abstract:

    Abstract An AI System for obtaining the magnitude of process parameters in plastic Injection Molding Operation has been developed. The system is user interactive and can be used at shop floor. This system applies two techniques, Rule-Based and Case-Based Reasoning. Case-Based Reasoning is used to derived the first trial setting of processing parameters, while the Rule-Based sub-system suggests a set of corrective actions to deal with possible corresponding variations in Molding. The system reduces optimization time and human expert dependency.

Y.a. Kranov - One of the best experts on this subject based on the ideXlab platform.

  • Hollow glass microsphere HDPE composites for low energy sustainability
    Materials Science and Engineering: A, 2010
    Co-Authors: S.n. Patankar, Y.a. Kranov
    Abstract:

    The thermal and mechanical properties of high density polyethylene (HDPE) can be tailored by using hollow glass microspheres with high crushing strength and low thermal conductivity. In the present study dealing with hollow glass microsphere filled polymers, the results show that sodium borosilicate hollow glass microspheres (HGM) remain intact in HDPE matrix with no sign of crushing during the compounding and Injection Molding Operation. The resultant composites have low thermal conductivity. While polyethylene-graft-maleic anhydride (PE-g-MAH) used as compatibilizer has a positive impact on some of the mechanical properties, its use does not significantly alter the thermal conductivity of the HGM HDPE composite. Also, the matrix to reinforcement load transfer capability in HGM HDPE composite was found to be insensitive to HGM content and use of compatibilizer.

K. Shelesh-nezhad - One of the best experts on this subject based on the ideXlab platform.

  • An intelligent system for plastic Injection Molding process design
    Journal of Materials Processing Technology, 1999
    Co-Authors: K. Shelesh-nezhad, Elias Siores
    Abstract:

    Abstract An AI System for obtaining the magnitude of process parameters in plastic Injection Molding Operation has been developed. The system is user interactive and can be used at shop floor. This system applies two techniques, Rule-Based and Case-Based Reasoning. Case-Based Reasoning is used to derived the first trial setting of processing parameters, while the Rule-Based sub-system suggests a set of corrective actions to deal with possible corresponding variations in Molding. The system reduces optimization time and human expert dependency.

Franc Vladimír - One of the best experts on this subject based on the ideXlab platform.

  • Design of a Robotic Cell for Injection Molding Machines Operations
    Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019
    Co-Authors: Franc Vladimír
    Abstract:

    The aim of this thesis is to design a robotic cell for automated Injection Molding Operation. At the beginning of this paper, the input parameters and the assignment are analyzed. This is then followed up by the layout of the workplace, design of its equipment, selection of robots and the design of their end effectors and peripherals with regard to the specified boundary conditions and operator’s safety. The output of this work is a 3D cell model and its simulation model in PLM software Siemens Process Simulate, which verifies the production cycle time

  • Design of a Robotic Cell for Injection Molding Machines Operations
    Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019
    Co-Authors: Franc Vladimír
    Abstract:

    Cílem této diplomové práce je navrhnout robotickou buňku pro automatizovanou obsluhu vstřikolisů. Úvodem práce je proveden rozbor vstupních parametrů a zadání. Následuje návrh rozvržení pracoviště, jeho zařízení, výběr robotů a konstrukční návrh jejich koncových efektorů a periferie s ohledem na zadané okrajové podmínky a bezpečnost obsluhy. Výstupem práce je 3D model buňky a její simulační model v PLM softwaru Siemens Process Simulate, kterým je ověřena doba výrobního cyklu.The aim of this thesis is to design a robotic cell for automated Injection Molding Operation. At the beginning of this paper, the input parameters and the assignment are analyzed. This is then followed up by the layout of the workplace, design of its equipment, selection of robots and the design of their end effectors and peripherals with regard to the specified boundary conditions and operator’s safety. The output of this work is a 3D cell model and its simulation model in PLM software Siemens Process Simulate, which verifies the production cycle time.

S.n. Patankar - One of the best experts on this subject based on the ideXlab platform.

  • Hollow glass microsphere HDPE composites for low energy sustainability
    Materials Science and Engineering: A, 2010
    Co-Authors: S.n. Patankar, Y.a. Kranov
    Abstract:

    The thermal and mechanical properties of high density polyethylene (HDPE) can be tailored by using hollow glass microspheres with high crushing strength and low thermal conductivity. In the present study dealing with hollow glass microsphere filled polymers, the results show that sodium borosilicate hollow glass microspheres (HGM) remain intact in HDPE matrix with no sign of crushing during the compounding and Injection Molding Operation. The resultant composites have low thermal conductivity. While polyethylene-graft-maleic anhydride (PE-g-MAH) used as compatibilizer has a positive impact on some of the mechanical properties, its use does not significantly alter the thermal conductivity of the HGM HDPE composite. Also, the matrix to reinforcement load transfer capability in HGM HDPE composite was found to be insensitive to HGM content and use of compatibilizer.