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import streamlit as st
import pandas as pd
import numpy as np
from calculation import SteamPipe
# Load pre-arranged data
insulation_data = pd.read_csv("insulation_data.csv")
cladding_data = pd.read_csv("cladding_data.csv")
# Streamlit UI Design
st.set_page_config(page_title="Steam Pipe Calculator", layout="wide")
st.title("🔥 Steam Pipe Heat Loss & Insulation Calculator")
# Sidebar Inputs
st.sidebar.header("Input Parameters")
steam_flow = st.sidebar.number_input("🚀 Steam Flow (Kg/hr)", min_value=1, value=1000)
inlet_pressure = st.sidebar.number_input("🔥 Inlet Steam Pressure (Kg/cm²g)", min_value=1.0, value=10.0)
superheat = st.sidebar.number_input("🌡️ Degree of Superheat (°C)", min_value=0.0, value=50.0)
steam_temp = st.sidebar.number_input("🌡️ Steam Temperature (°C)", min_value=100.0, value=200.0)
line_size = st.sidebar.selectbox("📏 Line Size (Inch)", ["1", "2", "3", "4", "6", "8", "10"])
ambient_temp = st.sidebar.number_input("🌤️ Ambient Temperature (°C)", min_value=-50.0, value=25.0)
ambient_velocity = st.sidebar.number_input("💨 Ambient Air Velocity (m/s)", min_value=0.0, value=1.0)
insulation_material = st.sidebar.selectbox("🛡️ Insulation Material", insulation_data["Material"].unique())
cladding_material = st.sidebar.selectbox("🔩 Cladding Material", cladding_data["Material"].unique())
user_insulation_thickness = st.sidebar.number_input("📏 User-defined Insulation Thickness (mm)", min_value=0.0, value=0.0)
# Perform Calculations
pipe = SteamPipe(
steam_flow,
inlet_pressure,
superheat,
steam_temp,
line_size,
ambient_temp,
ambient_velocity,
insulation_material,
cladding_material,
user_insulation_thickness if user_insulation_thickness > 0 else None
)
# Perform calculation with adjusted insulation thickness
def calculate_insulation_thickness():
pipe_radius = float(line_size) * 0.0254 / 2 # Convert inches to meters
k = insulation_data.loc[insulation_data["Material"] == insulation_material, "Thermal_Conductivity (W/mK)"].values
if len(k) == 0:
st.error("Thermal conductivity data not found for selected insulation material.")
return 0.0
k = k[0]
target_heat_loss = 100 # Assumed target value (can be modified based on requirements)
thickness = (np.exp((2 * np.pi * k * (steam_temp - ambient_temp)) / target_heat_loss) * pipe_radius) - pipe_radius
return max(thickness, 0.01) # Ensure minimum insulation thickness
required_thickness = calculate_insulation_thickness()
outlet_temp, heat_loss = pipe.calculate(required_thickness)
# Display Results
st.subheader("Results")
st.metric(label="Outlet Steam Temperature (°C)", value=f"{outlet_temp:.2f}")
st.metric(label="Required Insulation Thickness (m)", value=f"{required_thickness:.4f}")
st.metric(label="Heat Loss per Unit Length (W/m)", value=f"{heat_loss:.2f}")
# Run Streamlit App
if __name__ == "__main__":
st.write("🔍 Adjust inputs in the sidebar and view results dynamically!")
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