Methods, systems, and apparatus, including medium-encoded computer program products, for injection molding warp prediction include: obtaining a mold model and measured shrinkage data for at least one material, predicting an amount of warpage for a part manufactured using the mold by computational simulation of an injection molding process, where the computational simulation uses an internal residual stress model for the part that uses calibrated values for both a coefficient of thermal expansion and an elastic modulus and/or a Poisson's ratio of the at least one material, in at least one direction, for at least thermal stress due to cooling and pressure compensation during and/or after a packing phase of the injection molding process, in accordance with the measured shrinkage data for the at least one material, and providing the amount of warpage predicted for the part manufactured using the mold.

A molding apparatus is provided, including a mold, a measurement device configured for sensing a state of the mold, and a calibration device electrically connected to the measurement device and configured for determining a state of a sensing function of the measurement device. Therefore, the problem that the measurement device is too old to accurately sense the state of the mold is solved.

The injection molding machine includes a fixed platen, a moveable platen moving forward and backward by a toggle link, a base plate supporting the toggle link, a driving part for mold clamping to operate the toggle link, a driving part for mold thickness adjustment to adjust a mold thickness, and a control unit to calculate a movement distance gap before a clamping process by controlling the driving part for mold thickness adjustment to move the base plate backward and then move the base plate forward to a target movement position based on a fold amount of the toggle link, and control the driving part for mold thickness adjustment using a value obtained by deducting the movement distance gap from the fold amount of the toggle link when producing a clamp force.

Methods, systems, and apparatus, including medium-encoded computer program products, for injection molding warp prediction include: obtaining a mold model and measured shrinkage data for at least one material, predicting an amount of warpage for a part manufactured using the mold by computational simulation of an injection molding process, where the computational simulation uses an internal residual stress model for the part that uses calibrated values for both a coefficient of thermal expansion and an elastic modulus and/or a Poisson's ratio of the at least one material, in at least one direction, for at least thermal stress due to cooling and pressure compensation during and/or after a packing phase of the injection molding process, in accordance with the measured shrinkage data for the at least one material, and providing the amount of warpage predicted for the part manufactured using the mold.

The invention belongs to the technical field of integrated machining of lenses and provides an integrated injection-molding method for a lens and a lens formed by the integrated injection-molding method to overcome the defect of poor sealing performance of lenses in the prior art caused by separate assembly of the lenses during production. In the invention, a high-transparency polycarbonate material is purified to remove impurities and moisture; then, an integrated mold is debugged; a material plasticization and filling process, a temperature holding process and a cooling process are accurately controlled by means of an injection molding machine to realize integrated formation of a lens and a product body; and after being formed, the product body is processed, and performance is detected. In this way, the sealing performance of the lens is improved.