Abstract: A novel precision grinding technique optimum is proposed for grinding workpiece’s
convex surface. The grinding point moves in radial direction on wheel’s planar face, while the
grinding wheel feed in forward and backward direction. The calculation model of cutting location is
established, experiments and data are shown. The advantages are illustrated by achieved higher
precision grinding, extended life span of wheel, reduced deformation of machining system, and easier
dressed following dullness. Via comparing the machining error to conventional methods, it is
suggested that technique is an optimum option, in particular, for grinding convex surface of
workpiece made of brittle and hard materials.
Abstract: This paper proposes a sub-aperture grinding tool for loose abrasive computer controlled
surfacing, which is designed to perform epicyclic motion and rotate around its centre at a rapid rate,
whilst the entire mechanism revolves around a secondary centre at a slower rate. In actual process,
the wear of the tool could affect the material removal function, and make the process unstable, thus
in fact, it is difficult to make a deterministic manufacturing. The focus of the present paper is on
wearing characteristics of sub-aperture tools and the wear evenness as the main objectives. To make
a further study, material removal function of the tool is firstly established through theoretically
modelling, next, a correlative function with weighted factors is built, which is suitable for
specifying the wearing degree of the tool. Finally, to discover the relationship between the material
removal rate and the tool wearing characteristics, and to optimize the grinding process, analysis and
experiments are then carried out on a K9 glass specimen by means of three kinds of tool materials,
i.e., polyurethane pad, aluminum plate and pitch based on the proposed technique and model. The
results indicated that the required high efficiency and precision could be achieved by choosing
Abstract: The grinding process has been investigated in the machining of titanium alloy with
conventional grinding wheel and SG grinding wheel respectively. The machinability discussed here
includes grinding force, surface roughness, dimensional accuracy, grinding ratio, grinding-wheel
wear and grinding-wheel life. The SG grinding wheel is found to possess particularly good grinding
properties and is more suitable for grinding titanium alloy when compared with conventional
Abstract: A self-adaptive forecast & optimal control method for grinding wheel in-feed is presented,
it can control grinding wheel plunge by using the new program of grinding process, and can
compensate availably the size errors produced by the elasticity deflection of the grinding system and
the deference of work-pieces rough and the wear of the grinding wheel, et al. The result of computer
simulation and real testing indicate that this method can improve grinding quality.
Abstract: A surface roughness intelligent prediction control system during grinding is built. The
system is composed of fuzzy neural network prediction subsystem and fuzzy neural network
controller. In the fuzzy neural network prediction subsystem, the vibration data are added to the
inputs besides the grinding condition, such as feed and speed, so as to improve the dynamic
performance of the prediction subsystem. The fuzzy neural network controller is able to adapt
grinding parameters in process to improve the surface roughness of machined parts when the
roughness is not meeting requirements. Experiment verifies that the developed prediction control
system is feasible and has high prediction and control accuracy.
Abstract: Nanostructured ceramic coatings has excellent properties, their industrial application
depends not only on their fabrication but also on their precision grinding technology, so it is
necessary to study the material removal mechanism in grinding of nanostructured ceramic coatings.
This paper presents experimental results on how the grinding processes parameters affect the
grinding force ratio and specific grinding energy as well as surface roughness in precision surface
grinding of nanostructured WC/12Co (n-WC/12Co) coating and also presents SEM observations of
surface and subsurface of n-WC/12Co coating ground under different grinding conditions.
Furthermore this paper discusses the material removal mechanism in grinding of n-WC/12Co
coatings and gives priority to inelastic deformation instead of brittle fracture, which provides
theoretical basis for the precision grinding of nanostructured ceramic coating.
Abstract: Nano-cemented carbide is a novel material, which is superior to common cemented
carbide on physical and mechanical properties, such as high hardness, toughness, flexural strength
and higher wear resisting property. It is proposed to have wide application prospect to tools and
In this paper, ELID grinding technique is applied to grind nano-cemented carbide tools. And the
ground surface quality, cutting edge radius, and machinability of nano-cemented carbide tools are
studied, compared with common cemented carbide. It is demonstrated by experimental results that
nano-cemented carbide has higher grinding surface quality with less surface flaw than that of
common cemented carbide. The cutting edge radius of nano-cemented carbide tool is less than that
of common cemented carbide tool. Under the same conditions, the tool life of nano-cemented
carbide is 1~2 times longer than that of common cemented carbide. The research results indicate
that ELID grinding technique is suitable for grinding cemented carbide tools. Nano-cemented
carbide tools have better machinability than common cemented carbide tools.
Abstract: Large-scale surface such as mould should have low roughness as well as high accuracy of
geometry profile. And it is an essential method to reach the accuracy request with grinding process.
In this research, due to the variety of geometry profiles, an Arc Envelope Grinding Method (AEGM)
is presented, the difficult problem of grinding large-scale revolution surface can be solved.
Meanwhile, the grinding wheel dressing and its shape precision are the keys to the precision of
revolution surface in the grinding with AEGM. In this paper, the influences of setting error of
diamond point dresser, which dress the grinding wheel into an arc section by using numerical
control function of NC grinding machine, upon the shape accuracy of plate-shaped grinding are
analyzed. It is shown that shape error of the grinding wheel increases with the increases of dresser
setting error in diameter direction, radius of tip arc on the grinding wheel, while it reduces with the
increase of radius of the grinding wheel, and shape error distributes no uniformly but symmetrically
along axial direction.
Abstract: The design principle and method of infrared ray automatic detection system for
grinding temperature are introduced. The Grinding Temperature Automatic Detector was designed.
The system can complete temperature’s correct detection and display in the grinding field of
grinding mill. All grinding mills in workshops are connected to center survey room by modern net
communication technology. Center survey room can directly display and print temperatures of any
grinding mill by computers, and give command to operators to adjust grinding parameters, to trim
grinding wheel, to change cool strength, so that high quality and high efficiency grinding machining
can be realized in the limited grinding temperature scope.
For the detector, temperature detecting scope is 0~1500oC. It is identified that the relative
detecting precision is less than 0.5%. The detector is connected with center survey room to form
local area network, to transfer the grinding information rapidly and correctly.