Fundamental to the machining process, is the metal-cutting operation, which involves extensive plastic deformation of the work piece ahead of the tool tip, high temperatures, and severe frictional conditions at the interfaces of the tool, chip, and work piece. This article explains that the basic mechanism of chip formation is shear deformation, which is controlled by work material properties such as yield strength, shear strength, friction behavior, hardness, and ductility. It describes various chip types, as well as the cutting parameters that influence chip formation. It also demonstrates how the service life of cutting tools is determined by a number of wear processes, including tool wear, machining parameters, and tool force and power requirements. It concludes by presenting a comprehensive collection of formulas for turning, milling, drilling, and broaching, and its average unit power requirement.

This article provides an overview of the independent and dependent variables of a machining process. Independent variables include workpiece material, specific machining processes, and tool materials and geometry. Cutting force and power, surface finish, and tool wear and failure are some dependent variables discussed. The article also describes the relations between the input variables and process behavior.

In-process tool monitoring systems can electronically detect excessive tool wear or warn of impending tool failure to lessen machine downtime and prevent the production of out-of-tolerance parts. This article discusses the sensing technology available for manufacturing applications, as wells as the advantages and disadvantages of this technology. It describes the roles of the three basic elements to any modern sensing system: sensing source, signal amplifier, and microprocessor or translator. The article reviews two case studies from two different ends of the metal removal spectrum, broaching and drilling, to emphasize the cost effectiveness of using a tool condition monitoring system.

This article discusses the principles of grinding process. It illustrates a typical wheel-work characteristic chart relating surface finish, wheel wear rate, metal removal rate, and power to the normal force. The article also reviews the effect of variations in work material, wheel specification, wheel speed, coolant, and grinding wheel-work conformity on the slopes of the wheel-work characteristic chart.

This article discusses the properties of beryllium metals that require special attention when machining. It provides information on the considerations of S65 and selects 65 beryllium materials that are used for conducting tool wear studies and surface damage studies. The article highlights some of the precautions to be followed while machining beryllium metals. Information on the cutting oils, cutting tools, and speeds and feeds used in turning the beryllium are also provided. The article describes the chemical milling and photochemical machining methods that are used for etching beryllium components.

This article focuses on the basic metallurgy and machining parameters of classes of depleted and enriched uranium alloys. It provides information on the health precautions applicable to the machining of depleted uranium alloys. The article also discusses tool wear and the types of tools used in uranium alloy machining.

Cutting tool wear is a production management problem for manufacturing industries. It occurs along the cutting edge and on adjacent surfaces. This article describes steady-state wear mechanisms, tertiary wear mechanisms, and tool replacement. It provides information on tool failure and its consequences. The article details the modeling of tool wear by using the Taylor's tool life equation. The article concludes with information on the requirements of a successful tool life testing program: the test plan objective, designing the test, conducting the test, analyzing the results, and applying the results.