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You are here: EPA Home » DfE » Chapter 6: Performance Data Analysis

Chapter 6: Performance Data Analysis

Table of Contents for Chapter 6
    • 6.1.1 Performance Assessment Protocol
    • 6.1.2 Subjective Measures of Cleaning Performance
    • 6.1.3 Physical and Chemical Characteristics of Clothes Cleaning
    • 6.1.4 Clothes Cleaning and Textile Damage Potential
    • 6.2.1 Summary of Findings
    • 6.2.2 Alternative Clothes Cleaning Demonstration (The Greener Cleaner)
    • 6.2.3 Final Report for the Green Clean Project
    • 6.2.4 Pollution Prevention in the Garment Care Industry: Assessing the Viability of   Professional Wetcleaning; Final Report (Cleaner by Nature)
    • 6.2.5 Alternative Textile Care Technologies: Part I
    • 6.2.6 Alternative Textile Care Technologies: Part II
    • 6.2.7 University of Guelph Fabric Swatch Study

Download the PDF version of Chapter 6 in its entirety [168K].

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This chapter presents performance data associated with the various fabricare cleaning alternatives. The information and data focus primarily on the factors that affect the ability of a process to clean garments effectively.

Section 6.1 summarizes relevant performance assessment criteria for comparing alternative clothes cleaning processes. Section 6.2 includes a study-by-study presentation of garment and fabricare performance data associated with drycleaning and wetcleaning cleaning technologies. The performance data summarized include the results from clothes cleaning demonstrations and laboratory studies performed in the United States and Canada.

The studies range in scope and complexity, but are generally limited to comparisons of the drycleaning (perchloroethylene [PCE] and hydrocarbon [HC] solvent based) and machine wetcleaning cleaning options. Although improved HC solvents with lower flash points are included in one study in progress, the results were not available at the time of publication. Because the information collected in these studies varies widely, performance results are presented in the format chosen by the study author(s). No further analysis of study data was performed independently to verify results or conclusions. In addition, individual studies may contain specific limitations that are not necessarily identified in this chapter. Due to the wide variability in potential operating conditions, the performance studies summarized in this chapter represent case studies rather than generalizable scenarios.

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