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This animation is an idealized carburetor which was subjected to a full cut in the length direction. The chambers and pipes containing fuel or air. The vertical arrows represent the masses of air and fuel-air mixture into and out of the carburetor body. The blue color represents air; the yellow color fuel; green color represents the air-fuel mixture, and changes its tone as the ratio, and the ash is the material on which the carburetor was built. Unlike what happens in a real carburetor, technical limitations prevented the fuel jets to spray when in contact with the air flow.
Interactive animation of carburetor operation and its systems

Tips:
– Drag the throttle arm to change the air flow
– Click here or scroll down the page to understand the individual operation of the carburetor systems
In this lab, we learn how to use user-defined statistics (Tally, State, and Output statistics) to evaluate performance metrics that are not built-in in Simio. The videos will guide you through:
- Understanding different types of performance measures (ObservationalTime-persistent)
- Learning how to code user-defined Tally, State, and Output statistics in Simio
Related Lab Files:
Video 1: User-defined Statistics, Observational vs. Time-dependent Performance Metrics
Topics covered in this video:
– What are user-defined statistics and why are they important?
– Introduction to tally and time-persistent performance metrics
– Problem description and performance metrics of interest
Video 2: Tally Statistics, State Statistics, Add-on Processes, State Assignments
Topics covered in this video:
– A state statistic for the overall number in system for all part types
– Duration of time spent in a subsystem using a tally statistic
– ModelEntity states
– Model states
– State assignments
– Add-On processes
Video 3: Output Statistics, State Statistics (cont’d)
Chimpoo Simpoo 46 Part 1
Topics covered in this video:
– Using a State Statistic for the number of a particular entity type in a queue
– Output statistic for the total loss evaluated at the end of the run
– ModelEntity states
– Model states
– Add-On processes