A development method of cutting force coefficients in face milling process using parallelogram insert
نویسندگان
چکیده
This paper presents a modeling method of cutting force and combination approach theory experimental methods in the determination coefficients face milling process using parallelogram insert. By theoretical method, forces were modeled by mathematical function cutter geometry (Cutter diameter, number inserts, insert nose radius, edge helix angle, etc.), conditions (depth cut, feed per flute, spindle speed, (shear coefficients, coefficients). average three directions (feed – x, normal y, axial z) as linear functions flute. these also regressed flute with quite large (R2 larger than 92 %). Then, relationship was used to determine all six coefficient components. The validation experiments performed verify forces, models one successfully verified comparison shape values predicted measured forces. These proposed can be applied predict extended other types or
منابع مشابه
Cutting Force Prediction in End Milling Process of AISI 304 Steel Using Solid Carbide Tools
In the present study, an attempt has been made to experimentally investigate the effects of cutting parameters on cutting force in end milling of AISI 304 steel with solid carbide tools. Experiments were conducted based on four factors and five level central composite rotatable design. Mathematical model has been developed to predict the cutting forces in terms of cutting parameters such as he...
متن کاملDevelopment of a Tri-Axial Cutting Force Sensor for the Milling Process
This paper presents a three-component fixed dynamometer based on a strain gauge, which reduces output errors produced by the cutting force imposed on different milling positions of the workpiece. A reformative structure of tri-layer cross beams is proposed, sensitive areas were selected, and corresponding measuring circuits were arranged to decrease the inaccuracy brought about by positional va...
متن کاملFuzzy cutting force modelling in micro-milling
Reliable prediction of cutting forces is essential for micromilling. In this paper, a fuzzy cutting force modelling method based on subtractive clustering method filters the noise and estimates the instantaneous cutting forces using observations acquired by sensors during cutting experiments. In the experimental case study, four data sets of micromilling cutting force are used. Each data set is...
متن کاملPprediction of Cutting Forces in Micro-milling Process Using Finite Element Method
This paper presents the prediction of micro-milling forces using the finite element method (FE). An FE model of orthogonal micro-cutting with round cutting edge is developed. The cutting force coefficients are identified from a series of FE simulations at a range of cutting edge radii and chip loads. The identified cutting force coefficients are used to simulate micro-milling forces. The simula...
متن کاملIntelligent Adaptive Cutting Force Control in End-milling
In this article, an adaptive neural controller for the ball end-milling process is described. Architecture with two different kinds of neural networks is proposed, and is used for the on-line optimal control of the milling process. A BP neural network is used to identify the milling state and to determine the optimal cutting inputs. The feedrate is selected as the optimised variable, and the mi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Eureka: Physics and Engineering
سال: 2021
ISSN: ['2461-4254', '2461-4262']
DOI: https://doi.org/10.21303/2461-4262.2021.001890