Normally pressure is not a viable variable in ternary phase diagram construction, and is therefore A triangular phase diagram showing the representation of the mass fractions One of the common ternary phase. A hypothetical ternary phase space diagram made up of metals. The o/w emulsion area was large with increasing HLB value of surfactant/Smix. Diagrams that represent the equilibrium between the various phases that are formed between three components, as a function of temperature. The w/o emulsion occupied a large area in the ternary phase triangle when HLB value of the surfactant/Smix decreased. The results indicated that non-ionic surfactants and PG of different HLB values exhibited different pseudoternary phase diagram characteristics but no microemulsions originated from mineral and olive oils. High gel or viscous area was obtained with Tween 80 and surfactant mixture of Tween 80 and Span 80 with all oils. Visual analysis, conductivity and dye dilution test (methylene blue) were performed after each addition and mixing of water, to identify phases as microemulsion, o/w or w/o emulsion (turbid/milky) and transparent gel/turbid viscous. Pseudoternary phase diagrams of water, oil and S/Smix of various HLB values range of 9.65-15 were constructed by using water titration method at room temperature.
The phases include conventional emulsion, gel/viscous and transparent/translucent microemulsion. The binary decision diagram (BDD) concept is extended to produce ternary decision diagrams (TDDs) to facilitate fast calculation of the importance measures.The objective of this study was to select appropriate surfactants or blends of surfactants and oil to study the ternary phase diagram behavior and identify various phases obtained from the oil and surfactant/surfactant mixture combinations of different HLB. The causes of phase failure are expressed as fault trees.
In addition, a means is given to update the system performance prediction as phases of the mission are successfully completed. Through the development of appropriate importance measures, this paper provides ways of identifying the contribution made by each component failure to each phase failure and the overall mission failure. In conventional system assessments, importance measures can be predicted which provide a numerical indicator of the significance of the role that each component plays in the system failure.
In the event that the system performance does not meet with the acceptance requirement, weaknesses in the design are identified and improvements made to rectify the deficiencies. Binary component phase behavior from a ternary phase diagram Determine the phase behavior of the binary components of the ternary phase shown in Figure 4.23 assuming that A and B, are in liquid states of L 1 and L 2, respectively, and C is in its supercritical state that is labeled as V. Ensure phases >3µm (interaction volume, which with kV At least 5 measuremnts on different phases (but need higher kV to excite necessary peaks.) Overall should lie on tie line of 2 phases, else. The reliability analysis of a phased mission system will produce the probability of failure during each of the phases, together with the overall mission failure likelihood. Mission success is only achieved if each of the phases is successful, and each phase is required to achieve a different objective and use different elements of the system. The way that many systems are utilized can be expressed in terms of missions which are split into a sequence of contiguous phases.