Patent classifications
B29C66/964
METHOD FOR EVALUATING AN ASSEMBLY BY WELDING OF PARTS BASED ON THERMOPLASTIC MATERIALS
The present invention relates to a method for evaluating an assembly by welding of parts made of thermoplastic materials, to a test piece and its associated uses, to an installation for implementing this method and to the associated welding system.
Methods for determining a melt layer thickness associated with a predetermined weld strength based on a correlation therebetween
A method for optimizing a welding process to produce a weld joint having a predetermined strength includes measuring a plurality of melt layer thicknesses of weld joints for a plurality of sample assemblies formed by the welding process, measuring a plurality failure loads of weld joints for the plurality of sample assemblies, each of the measured plurality of failures loads being associated with one of the measured plurality of melt layer thicknesses, selecting a first failure load from the plurality of measured failure loads responsive to determining that the first failure load corresponds to a predetermined weld strength, and selecting a first melt layer thickness from the plurality of measured melt layer thicknesses that is associated with the selected first measured failure load.
ULTRASONIC SETTING OF A CONNECTOR TO AN OBJECT
A computer implemented method comprises the steps of: providing a user interface to a computer terminal; providing a welding machine interface (252) to a welding machine (22; 31) which is equipped with a set of sensors having a power supply sensor (221; 311) configured to sense a power supplied by the welding machine (22; 31) to set a connector to an object in runtime; obtaining a threshold performance metric data signal representing threshold product performance metric predefined via the user interface; obtaining a power supply data signal from the welding machine (22; 31) via the welding machine interface (252), which power supply data signal represents the sensed power supplied by the welding machine (22; 31) to set the connector to the object; applying a machine learning model to the power represented by the obtained power supply data signal such that the machine learning model calculates a model product performance metric, wherein the machine learning model is specifically pre trained with training power sensed by the power supply sensor (221; 311) of the set of sensors of the welding machine (22; 31) and measured product performance metrics; comparing the calculated model product performance metric to the threshold product performance metric represented by the threshold performance metric data signal; and generating a non-consistency data signal when the calculated product performance metric does not comply with the threshold product performance metric.
METHODS FOR DETERMINING A MELT LAYER THICKNESS ASSOCIATED WITH A PREDETERMINED WELD STRENGTH BASED ON A CORRELATION THEREBETWEEN
A method for optimizing a welding process to produce a weld joint having a predetermined strength includes measuring a plurality of melt layer thicknesses of weld joints for a plurality of sample assemblies formed by the welding process, measuring a plurality failure loads of weld joints for the plurality of sample assemblies, each of the measured plurality of failures loads being associated with one of the measured plurality of melt layer thicknesses, selecting a first failure load from the plurality of measured failure loads responsive to determining that the first failure load corresponds to a predetermined weld strength, and selecting a first melt layer thickness from the plurality of measured melt layer thicknesses that is associated with the selected first measured failure load.
Methods for determining a melt layer thickness associated with a predetermined weld strength based on a correlation therebetween
A method for optimizing a welding process to produce a weld joint having a predetermined strength includes measuring a plurality of melt layer thicknesses of weld joints for a plurality of sample assemblies formed by the welding process, measuring a plurality failure loads of weld joints for the plurality of sample assemblies, each of the measured plurality of failures loads being associated with one of the measured plurality of melt layer thicknesses, selecting a first failure load from the plurality of measured failure loads responsive to determining that the first failure load corresponds to a predetermined weld strength, and selecting a first melt layer thickness from the plurality of measured melt layer thicknesses that is associated with the selected first measured failure load.
METHODS FOR DETERMINING A MELT LAYER THICKNESS ASSOCIATED WITH A PREDETERMINED WELD STRENGTH BASED ON A CORRELATION THEREBETWEEN
A method for optimizing a welding process to produce a weld joint having a predetermined strength includes measuring a plurality of melt layer thicknesses of weld joints for a plurality of sample assemblies formed by the welding process, measuring a plurality failure loads of weld joints for the plurality of sample assemblies, each of the measured plurality of failures loads being associated with one of the measured plurality of melt layer thicknesses, selecting a first failure load from the plurality of measured failure loads responsive to determining that the first failure load corresponds to a predetermined weld strength, and selecting a first melt layer thickness from the plurality of measured melt layer thicknesses that is associated with the selected first measured failure load.
Systems and methods for ultrasonic welding
Systems and methods to improve weld quality are described. For example, certain systems and methods described use weld quality monitoring as feedback to an ultrasonic welding process to improve weld quality. Still other systems and methods provide improvement to double sided and single sided ultrasonic welding through the use of selected multiple pulses.
Systems and methods for ultrasonic welding
Systems and methods to improve weld quality are described. For example, certain systems and methods described use weld quality monitoring as feedback to an ultrasonic welding process to improve weld quality. Still other systems and methods provide improvement to double sided and single sided ultrasonic welding through the use of selected multiple pulses.
Systems and methods for ultrasonic welding
Systems and methods to improve weld quality are described. For example, certain systems and methods described use weld quality monitoring as feedback to an ultrasonic welding process to improve weld quality. Still other systems and methods provide improvement to double sided and single sided ultrasonic welding through the use of selected multiple pulses.
Method for evaluating an assembly by welding of parts based on thermoplastic materials
The present invention relates to a method for evaluating an assembly by welding of parts made of thermoplastic materials, to a test piece and its associated uses, to an installation for implementing this method and to the associated welding system.