This chapter provides guidelines on how to set up and run an effective quality-improvement program for aluminum extrusion operations. It begins by identifying production processes and variables that impact the quality of hard and soft alloy extrusions. It then presents a series of checklists and flowcharts that can be used to monitor and troubleshoot billet-making and extrusion processes, die construction, equipment maintenance, heat treating, and sawing and stretching procedures. It also discusses the importance of charting test results and monitoring surface treatments that may be required to improve corrosion, oxidation, or wear resistance.

The hidden factory refers to the activities associated with scrap and rework. This chapter presents a rudimentary understanding of what sorts of things the hidden factory is doing, focusing on how to get one's arms around the rejections that occur most frequently or have the highest cost. It provides information on the use of Pareto analyses from both frequency-of-occurrence and cost perspectives to target specific areas for improvement.

This chapter provides an introduction to statistical process control and the concept of total quality management. It begins with a review of quality improvement efforts in the extrusion industry and the considerations involved in developing sampling plans and interpreting control charts. It then lays out the steps that would be followed in order to implement statistical testing for billet casting, die performance, or any other process or variable that impacts extrusion quality. The chapter concludes with an overview of the fundamentals of total quality management.

A successful heat treating operation is determined by the ability to satisfy the customer's quality requirements consistently and economically. This chapter reviews the steps that are important to produce quality parts in heat treating with a brief practical explanation of each. The steps include selecting proper material and design of the part being treated; determining whether the process is capable of heat treatment; using statistical process control, control charting, and in-process inspection and testing; and applying statistical quality control and final testing (sampling) to verify the results.

In the second step of the four-step problem-solving process, the failure analysis team should identify all potential failure causes. This chapter discusses the steps involved in five such techniques for identifying potential causes of failure, namely brainstorming, mind mapping, Ishikawa diagrams, the “five whys” technique, and flow charting.

The results of certain heat treating processes must be verified for case quality and case depth by destructively sectioning a part or parts that were subjected to the process. Test coupons or test pins are often used for diffusion processes such as carburizing, carbonitriding, nitriding, and ferritic nitrocarburizing to provide an accurate heat treating process evaluation. This appendix briefly describes the advantages and selection and design considerations of test coupons. A typical example of the use of test pins for monitoring carburizing and hardening of gears is provided.

This chapter provides an overview of key elements in controlling the casting process, systems to confirm the quality of outgoing components, and the steps needed to launch a novel product. The discussion also provides information on process control tools and techniques; incoming material control; process control of sand preparation and system maintenance; metallic charge materials; product quality control; and melting, metallurgical, and mechanical testing.

This chapter is a compilation of terms and definitions related to component failure analysis.

This chapter describes the nine steps of a failure investigation. The steps add detail to the problem-solving process introduced in Chapter 3. The first five steps are (1) understanding and negotiating the investigation goals, (2) obtaining an understanding of the failure, (3) objectively and clearly identifying all possible root causes, (4) evaluating the likelihood of each root cause, and (5) converging on the most likely root cause(s). Many failure investigations stop at this point, but significant value is provided in the next four steps, which are (6) identifying all possible corrective actions, (7) evaluating each corrective action, (8) selecting the optimal corrective action(s), and (9) evaluating the effectiveness of each corrective action. Each step is discussed in detail with examples along with information on the procedures to be followed and resources needed for the investigation.

This chapter provides an overview of the nomenclature, generations, and thermomechanical processing of advanced high-strength steels (AHSS) and provides information on the development of microstructure. It also presents a review of the mechanical property trends of AHSS.

Casting quality and consistency need to be carefully controlled. This chapter discusses the procedures that describe the process and product quality controls. In addition, it provides information on quality assurance programs.

This chapter discusses the progress that has been made in the development of superalloy operating temperatures, properties, and performance. It also provides forward-looking projections based on advances in process modeling, alloying, and production techniques.

This chapter is a detailed account of various factors pertinent to the development and launch of a product. It begins by describing the five phases in the product launch process, namely product design and development, process design and development, product and process validation, product launch, and continuous improvement. This is followed by sections covering product-process flow diagrams and also the process elements considered for process failure mode and effects analysis. Some of the aspects covered by the engineering specifications to meet the product performance requirements are then reviewed. Details on product validation requirements and definitions of parameters related to the launch process are also provided. The chapter discusses the purpose of manufacturing control plan, along with an illustration of a manufacturing control plan outlined for a safety-critical suspension casting. It ends with an overview of the contents of a program launch manual.

This chapter covers the emerging practice of quantitative microscopy and its application in the study of the microstructure of metals. It describes the methods used to quantify structural gradients, volume fraction, grain size and distribution, and other features of interest. It provides examples showing how the various features appear, how they are measured, and how the resulting data are converted into usable form. The chapter also discusses the quantification of fracture morphology and its correlation with material properties and behaviors.

Mechanical tests are performed to evaluate the durability of gears under load. The chapter first discusses the processes involved in the computations of stress for test parameters of gear. Next, the chapter reviews the four areas of specimen characterization of a test program, namely dimensional, surface finish texture, metallurgical, and residual stress. The following section presents the tests that simulate gear action, namely the rolling contact fatigue test, the single-tooth fatigue test, the single-tooth single-overload test, and the single-tooth impact test. Finally, the chapter describes the test procedures for surface durability (pitting), root strength (bending), and scoring (or scuffing) testing.

This chapter describes some common pitfalls encountered in failure investigations and provides guidance to help engineers recognize processes and “quick fixes” that companies often try to substitute for failure analysis. It discusses three important skills and characteristics that a professional engineer must improve to conduct an effective and successful failure investigation, namely technical skills, communication skills, and technical integrity. The chapter also provides information on the additional basic tools available for failure investigation and root cause determination: the Kepner-Tregoe structured problem-solving method, PROACT software for root cause analysis developed by the Reliability Center, Inc., and other processes and methods developed by the Failsafe Network, Inc., and Shainin LLC.

This chapter surveys both basic quality and basic reliability concepts as an introduction to the failure analysis professional. It begins with a section describing the distinction between quality and reliability and moves on to provide an overview of the concept of experiment design along with an example. The chapter then discusses the purposes of reliability engineering and introduces four basic statistical distribution functions useful in reliability engineering, namely normal, lognormal, exponential, and Weibull. It also provides information on three fundamental acceleration models used by reliability engineers: Arrhenius, Eyring, and power law models. The chapter concludes with information on failure rates and mechanisms and the two techniques for uncovering reliability issues, namely burn-in and outlier screening.