PROJECT TOP-DOWN

/main
|-- perf_tests
|   `-- eight
|       |-- TD
|       |   |-- table_1_class.py
|       |   `-- table_2_class.py
|       |-- TINF
|       |   |-- table_1_class.py
|       |   `-- table_2_class.py
|       |-- LD
|       |   |-- table_1_class.py
|       |   `-- table_2_class.py
|       `-- LINF
|           |-- table_1_class.py
|           `-- table_2_class.py
|-- main.py

737 Performance Calculator (wip)

About the 737NG family

Popular Engine option: CFM56-7B26

Overview

This repository inputs values that are found within the official 737NG series FCOM performance tables, calculates performance per phase (takeoff/landing), and outputs the recommended aircraft configuration.

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Problem Context

Aviation performance data is typically consumed through static tables and manual cross-checking. While this works on paper, translating those procedures into software introduces additional complexity:

• Inputs may be incomplete, inconsistent, or out of expected bounds
• Assumptions embedded in tables must be made explicit in code
• Operational context (phase of flight, aircraft state) matters
• Errors must be detectable, explainable, and recoverable

This project reframes aircraft performance calculation as a systems problem, not just a numerical one—treating performance logic as something that must be robust, inspectable, and evolvable.

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What This Project Explores

Through incremental modules and experiments, this project examines:

• How real-world procedural logic maps to software structures
• How flight-phase–dependent state influences outputs
• How to surface invalid or unsafe configurations clearly
• How domain rules can be separated from calculation mechanics
• How small architectural decisions impact correctness and trustworthiness

The goal is not to replace certified tools, but to better understand how safety-critical logic behaves when expressed as software.