Abstract: Disclosed is a method for predicting surface quality of a burnishing workpiece. The method includes the steps: using vibration sensors and signal acquisition instrument to acquire vibration signals generated on a surface of the burnishing workpiece during machining, evaluating the surface quality of the burnishing workpiece based on a coupling coordination degree model, processing signals by using an ensemble empirical mode decomposition method, identifying power spectral density, kurtosis and form factor as signal characteristics, identifying a support vector machine as a decision-making model, optimizing penalty parameters and kernel function parameters by using the Bayesian optimization method, and establishing the relationship between the signal characteristics and the surface quality.

Abstract: Disclosed is a method for predicting surface quality of a burnishing workpiece. The method includes the steps: using vibration sensors and signal acquisition instrument to acquire vibration signals generated on a surface of the burnishing workpiece during machining, evaluating the surface quality of the burnishing workpiece based on a coupling coordination degree model, processing signals by using an ensemble empirical mode decomposition method, identifying power spectral density, kurtosis and form factor as signal characteristics, identifying a support vector machine as a decision-making model, optimizing penalty parameters and kernel function parameters by using the Bayesian optimization method, and establishing the relationship between the signal characteristics and the surface quality.

Abstract: An alkali-free ultrafine glass fiber formula includes the following components, in mass percentage calculated based on 100 Kg: SiO2: 50% to 65%, Al2O3: 10% to 16.5%, CaO: 17% to 28%, MgO: 0.2% to 4.0%, Na2O and K2O: 0.1% to 0.8% in total, CeO2: 0.1% to 0.5%, Li2O: 0.1% to 0.7%, Fe2O3: 0.05% to 0.6%, TiO2: 0.1% to 1%, and impurities: the balance. In the preparation of alkali-free ultrafine glass fibers, no fluorine and boron-containing raw materials are used, and CeO2 and Li2O are introduced, which avoids the use of B2O3 and F that have a large impact on the environment, and reduces environmental pollution. A single fiber strength of prepared glass fibers is about 9% higher than that of the traditional E glass fibers, and the comprehensive performance of a prepared glass fiber product is significantly superior than that of the existing E glass fiber product.

Abstract: An alkali-free ultrafine glass fiber formula includes the following components, in mass percentage calculated based on 100 Kg: SiO2: 50% to 65%, Al2O3: 10% to 16.5%, CaO: 17% to 28%, MgO: 0.2% to 4.0%, Na2O and K2O: 0.1% to 0.8% in total, CeO2: 0.1% to 0.5%, Li2O: 0.1% to 0.7%, Fe2O3: 0.05% to 0.6%, TiO2: 0.1% to 1%, and impurities: the balance. In the preparation of alkali-free ultrafine glass fibers, no fluorine and boron-containing raw materials are used, and CeO2 and Li2O are introduced, which avoids the use of B2O3 and F that have a large impact on the environment, and reduces environmental pollution. A single fiber strength of prepared glass fibers is about 9% higher than that of the traditional E glass fibers, and the comprehensive performance of a prepared glass fiber product is significantly superior than that of the existing E glass fiber product.