Abstract: A semiconductor laser module includes a laser diode array, an optical fiber array, a fiber array fitting for fixing the optical fiber array, a casing, and a support fitting for fixing the fiber array fitting and casing. The fiber array fitting and support fitting have a first contact section that is in line-contact or surface-contact with the plane section parallel with the light emission surface of the laser diode array, and are laser-welded and fixed to each other at the first contact section. The support fitting and casing have a second contact section that is in line-contact or surface-contact with the plane section vertical to the light emission surface of the laser diode array, and are laser-welded and fixed to each other at the second contact section.

Abstract: A semiconductor laser module includes a laser diode array, an optical fiber array, a fiber array fitting for fixing the optical fiber array, a casing, and a support fitting for fixing the fiber array fitting and casing. The fiber array fitting and support fitting have a first contact section that is in line-contact or surface-contact with the plane section parallel with the light emission surface of the laser diode array, and are laser-welded and fixed to each other at the first contact section. The support fitting and casing have a second contact section that is in line-contact or surface-contact with the plane section vertical to the light emission surface of the laser diode array, and are laser-welded and fixed to each other at the second contact section.

Abstract: An optical processing apparatus has high reliability and stable welding quality. In the processing apparatus, a semiconductor laser and an optical system are disposed to a flow path of processing gas. The gas protects the semiconductor laser and the optical system from moisture and dust while cooling them. In addition, the apparatus also leads the processing gas to flow through a holder of the optical system to increase cooling effect for the optical system and to improve an optical accuracy. The apparatus guides the processing gas along a surface of a cover glass inside a nozzle ejecting the processing gas to a workpiece, to prevent the surface of the cover glass from being damaged and stained. The processing gas is ejected in a direction coaxial with a direction of output light, so as to shield an area being processed.

Abstract: An optical processing apparatus has high reliability and stable welding quality. In the processing apparatus, a semiconductor laser and an optical system are disposed to a flow path of processing gas. The gas protects the semiconductor laser and the optical system from moisture and dust while cooling them. In addition, the apparatus also leads the processing gas to flow through a holder of the optical system to increase cooling effect for the optical system and to improve an optical accuracy. The apparatus guides the processing gas along a surface of a cover glass inside a nozzle ejecting the processing gas to a workpiece, to prevent the surface of the cover glass from being damaged and stained. The processing gas is ejected in a direction coaxial with a direction of output light, so as to shield an area being processed.

Abstract: A joining equipment in which a neural network is employed for controlling a joining process. A dynamic analog model is used for neuron elements configuring the network. The equipment includes a detector, a controller, and a neural network. The detector detects a joining state of a joining portion when work pieces are joined with each other. The controller controls the output of the joining equipment. In response to output signals from the detector, the neural network transmits signals to the controller. Such a structure allows the joining equipment to flexibly respond to complicated changes in joining states. Besides, using similarity with a thermal conduction equation enables to minimize the number of input items fed into the neural network. Furthermore, using an approximate solution to the thermal conduction equation realizes to accelerate the time for numerical calculation without loss of accuracy.

Abstract: A joining equipment in which a neural network is employed for controlling a joining process. A dynamic analog model is used for neuron elements configuring the network. The equipment includes a detector, a controller, and a neural network. The detector detects a joining state of a joining portion when work pieces are joined with each other. The controller controls the output of the joining equipment. In response to output signals from the detector, the neural network transmits signals to the controller. Such a structure allows the joining equipment to flexibly respond to complicated changes in joining states. Besides, using similarity with a thermal conduction equation enables to minimize the number of input items fed into the neural network. Furthermore, using an approximate solution to the thermal conduction equation realizes to accelerate the time for numerical calculation without loss of accuracy.

Abstract: A resistor welding machine control method for calculating a temperature distribution at a portion to be welded by using changes in welding current and voltage across two welding electrodes during welding and information on sheet combination sequence at a spot-welding position, and for controlling at least the welding current or pressure applied to the electrodes by using the calculated temperature distribution. The present invention can thus provide a resistor welding machine control method capable of controlling welding quality accurately. Spot-welding position information, wear comparison information and the like are available as other information.

Abstract: A method for evaluating quality of a resistance weld is provided, in which a nugget generation state during a welding process is evaluated by observable numerical values based on physical phenomena, and which can afford a wide application range in welding material as well as a capability of accurate knowledge as to the nugget generation state of the weld. Based on that a specific resistance value of a metal material to be welded has a temperature dependency in a conduction state of AC or current-pulsated welding current, a rate of change of inter-chip dynamic resistance instantaneous value during a current changing period is determined, a changing state of the dynamic resistance instantaneous value is further calculated, and a heat-generating state of a weld zone, i.e., a nugget formation state is estimated. Thus, a quality evaluation of a weld is performed accurately.

Abstract: The invention concerns a method of controlling welding conditions of a resistance welder, in which the nugget generating state can be estimated with general-purpose properties, and in which accurate and high-quality resultant welding can be obtained. Through a process of using a heat conduction simulator for performing simulation of a welding portion on the basis of heat conduction calculation, estimating the status quantity expressing the state in which a nugget is formed in the welding portion during welding, comparing the status quantity with reference status quantity led out of a physical phenomenon generating during welding at the time of estimation, and correcting the heat conduction simulator on the basis of the comparison result, it is possible to control the welding conditions accurately, and it is possible to obtain accurate and high-quality resultant welding.

Abstract: A control apparatus for a resistance welding machine comprises a welding current detecting device for detecting a welding current, interelectrode voltage detecting device for detecting an interelectrode voltage, a calculating section for predicting a nugget growth or estimating an expulsion & surface-flash generation probability, and control section for controlling the welding current so that the nugget growth or the expulsion & surface-flash generation probability can be adjusted to a predetermined value.

Abstract: An apparatus for controlling the resistance welding comprises a first operation for yielding an estimated condition value representing a state of nugget formation through the application of a thermal conduction simulation to welding part, a second operation for outputting a modification to welding condition based on the result of comparison between the estimated condition value and a predetermined standard condition value for forming a desired nugget, and an output for practically changing the welding condition of welding unit in accordance with the modification. Namely, the welding condition is kept controlled through the feedback of difference between a given standard condition value and an estimated condition value derived from simulation.

Abstract: A welding voltage output from a power source of a resistance welder is derived on the basis of a welding current and an interelectrode voltage, and diameter of a nugget which is formed in a sheetlike work to be welded is estimated on the basis of the welding current, the welding voltage, data of material constant and a thickness of the sheetlike work, subsequently, the estimated diameter of nugget is composed with a target diameter of nugget, and thereby quality of the resistance welding is determined.