在高速铣削试验的基础上，研究高速切削时切削速度对切削力的影响。结果表明，在切削速度较低的情况下，切削力随切削转速的增加而增大，但达到某一临界速度后,随着切削速度继续增大，剪切角增大，造成切向切削分力下降。不同刀具材料与工件材料的匹配在不同切削条件下有不同的临界切削速度。

High speed machining has received important interest because it leads to an increase in productivity and a better workpiece surface quality. Experimental investigation of the impact of tool materials and cutting parameters on surface roughness in high speed machining is presented in this paper. The surface roughness of machined workpiece is measured when high speed face milling of hardened carbon steels and cast iron by using PCBN and ceramic tools at various combinations of cutting speed and feed rate. The experimental results show that the surface roughness tends to decrease with increases of the cutting speed, but further increases of cutting speed cause an increase in surface roughness. Lower surface roughness is obtained by using less feed rate at high cutting speed region, which is as expected the same as at conventional cutting speeds. It is anticipated that the minimum surface roughness could be obtained by selecting the appropriate cutting speed and feed rate for the given material pairs between workpiece and cutting tool.

Achieving workpiece high accuracy at low cost is one of the greatest challenges in the manufacturing industry. A repetitive error measurement and compensation scheme to improve the workpiece diameter accuracy for machining centres is described. The scheme entails an on-machine measurement and error compensation technology between machining processes. The workpiece diameters are measured along the workpiece length by using a fine touch sensor. The workpiece diameters in the compensation program are modified for implementation of next pass error correction. The technology is realised on a CNC turning centre. This method works well in hard machining and turned workpieces with large length-diameter ratios where the machining process induced errors are significantly greater than errors from other sources. It demonstrates that the workpiece can obtain maximum possible machining accuracy by this repetitive measurement and compensation technique.

根据加工工件来优化选择刀具，包括刀具材料、刀具几何参数、刀具结构、切削参数和机床等切削数据，将关系到生产效率、生产成本及加工质量。建立切削数据库，向机械制造业提供合理或优化的切削用量，是增强企业竞争力最有效的措施之一。本文结合国内外切削数据库研究开发现状，探讨建立切削数据库的核心技术，分析切削数据库研究及应用过程中存在的问题，着重探讨切削数据库的发展趋势，指出切削数据库未来的研究方向将是集成化、智能化、实用化、网络化和标准化。

Although work has been carried out on parametric programming on CNC centres, there have been few papers which focus on error compensation. Parametric programming for error compensation is presented in this paper on the basis of a simple model of machining system deflections induced by the radial cutting force in CNC turning operations. The resulting errors are introduced as compensation values to the conventional tool movements along the programmed tool path. This can result in a complex tool path. Parametric programming is applied to handle this complexity for error compensation.

Several hitherto unrealized advantages would follow if each shop floor machine could compile its own machining database autonomously. This paper focuses on CNC turning to develop a shop floor friendly method for determining the cutting force component normal to the machined surface as well as the lumped static stiffness parameters of the machining set up solely from onmachine part inspection data gathered immediately after machining. It is shown that one can also estimate the shear and chip flow angles as well as the tangential and feed forces by combining this method with a suitable predictive model of the turning operation.

Applying case-based reasoning in high-speed machining can utilize previous cases and experience in machining a new work piece. This is helpful in overcoming the shortage of available high-speed machining data, and has significance for extending the application of HSM technology. For case representation, a model of case in HSM with relational data mode is proposed in the paper. With analysis of the characteristics of attributes and domain knowledge of HSM, the local similarities of case attributes are sorted into four classes: the numerical type, the enumerative type, the independent type, and the dependent type. The global similarity of cases is calculated by a composite similarity measure.

High-speed machining has received important interest because it leads to increase of productivity and a better workpieces surface quality. Holwever, at high cutting speeds, the tool wear increases dramatically due to the high temperature at the tool-workpiece interface. Tool wear impairs the surface finish and hence the tool life is reduced. That is why an important objective of metal cutting research has been the assessment of tool wear patterns and mechanisems. In this paper, the wear performances of PCBN tool, ceramic tool, coated carbide tool and fine-grainde carbide tool in high-speed face milling are presentde when cutting cast iron, 45 temperde carbon steel and45 hardende carbonsteel. The tool wear patterns were examinde through a toolmaker's microscope. The research results show that the tool wear types differed in various matching of materials betweenthe cutting tool and the workpiece. The dominant wear pattrens observed were rake face wear, flank wear, chiping, fracture and breakage. The main wear mechanisms were mechanical friction, adhesion,diffusion and chemical wear promoted by cutting fores and high cutting temperature. Hence, the important considerations of high-speed cutting tool materials are high heat-reistance and wear-resistance, and chemical stability as well as resistance to the failure of coating. The research results will be of great benefit in the design and Science B.V. All rights reservde.

Traditional bottleneck diagnosis of production lines mainly relies on the designer's experience, theoretical calculation or data analysis after practical system run. There are some disadvantages of the traditional bottleneck diagnosis for production lines. Using the virtual manufacturing technologies, a novel Simulation Diagnosis methodology about the Bottleneck of Production Lines (SDBPL) has been presented. With the proposed method, an existed production line is modeled, simulated and analyzed. Its bottleneck is quickly diagnosed by some ways such as visual simulation results, cycle time, machine utilization and labor utilization. Results reveal that SDBPL can find the location of bottleneck in the practical production lines without wasting practical resource because the entire course of the diagnosis for bottleneck is implemented in virtual environment, and SDBPL is quicker than that of traditional methods as well.