Firewood Weight Calculator

Firewood Weight Calculator: Estimate Your Wood's Weight :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 8px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; margin: 0; padding: 0; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px; text-align: center; border-radius: 8px 8px 0 0; margin-bottom: 20px; } header h1 { margin: 0; font-size: 2.2em; } .sub-header { font-size: 1.1em; color: rgba(255, 255, 255, 0.9); } h2, h3 { color: var(–primary-color); margin-top: 30px; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; } .calculator-section { margin-bottom: 40px; padding: 30px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } .calculator-section h2 { text-align: center; margin-bottom: 30px; } .input-group { margin-bottom: 20px; position: relative; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group select { width: calc(100% – 20px); padding: 12px; border: 1px solid var(–border-color); border-radius: 5px; font-size: 1em; box-sizing: border-box; } .input-group input[type="number"]:focus, .input-group select:focus { border-color: var(–primary-color); outline: none; box-shadow: 0 0 5px rgba(0, 74, 153, 0.3); } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .input-group .error-message { color: red; font-size: 0.85em; margin-top: 8px; display: none; } .button-group { text-align: center; margin-top: 30px; } button { padding: 12px 25px; border: none; border-radius: 5px; font-size: 1em; cursor: pointer; margin: 0 10px; transition: background-color 0.3s ease; } .calculate-btn { background-color: var(–primary-color); color: white; } .calculate-btn:hover { background-color: #003366; } .reset-btn, .copy-btn { background-color: #6c757d; color: white; } .reset-btn:hover, .copy-btn:hover { background-color: #5a6268; } #results-container { margin-top: 30px; padding: 30px; background-color: var(–primary-color); color: white; border-radius: 8px; box-shadow: var(–shadow); text-align: center; } #results-container h3 { color: white; border-bottom: 2px solid white; margin-bottom: 20px; } .primary-result { font-size: 2.5em; font-weight: bold; margin: 15px 0; color: var(–success-color); } .intermediate-results div { margin-bottom: 10px; font-size: 1.1em; } .intermediate-results strong { color: rgba(255, 255, 255, 0.9); } .formula-explanation { font-size: 0.9em; color: rgba(255, 255, 255, 0.8); margin-top: 20px; } table { width: 100%; border-collapse: collapse; margin-top: 30px; box-shadow: var(–shadow); } th, td { padding: 12px; text-align: left; border-bottom: 1px solid var(–border-color); } thead { background-color: var(–primary-color); color: white; } th { font-weight: bold; } tbody tr:nth-child(even) { background-color: var(–background-color); } caption { font-size: 1.1em; font-weight: bold; margin-bottom: 10px; color: var(–primary-color); text-align: left; } .chart-container { margin-top: 30px; padding: 30px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); text-align: center; } canvas { max-width: 100%; height: auto; } .chart-caption { font-size: 1em; color: #666; margin-top: 10px; } .article-content { margin-top: 40px; padding: 30px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } .article-content p, .article-content ul, .article-content ol { margin-bottom: 20px; } .article-content ul, .article-content ol { padding-left: 25px; } .article-content li { margin-bottom: 10px; } .article-content a { color: var(–primary-color); text-decoration: none; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; } .faq-item h4 { color: var(–primary-color); margin-bottom: 5px; border-bottom: none; padding-bottom: 0; } .faq-item p { margin-top: 0; font-size: 0.95em; } .related-tools ul { list-style: none; padding: 0; } .related-tools li { margin-bottom: 15px; border: 1px solid var(–border-color); padding: 10px; border-radius: 5px; background-color: var(–background-color); } .related-tools li strong { color: var(–primary-color); } .related-tools li p { font-size: 0.9em; color: #555; margin-top: 5px; }

Firewood Weight Calculator

Estimate the weight of your firewood accurately and easily.

Calculate Firewood Weight

Oak Maple Pine Birch Ash Fir Spruce Select the type of wood you are weighing.
Cords Cubic Meters Cubic Feet Enter the total volume of your firewood.
Enter the moisture content in percentage (e.g., 20 for 20%).
Green (as felled) Kiln Dry (approx. 15% moisture) Air Dry (approx. 20% moisture) Select the reference moisture content for density.

Your Firewood Weight Estimate

Wood Type:
Volume:
Moisture Content:
Calculated Density:
Estimated Total Weight:
Weight = Volume × Density × (1 + Moisture Adjustment Factor)

Weight Distribution by Wood Type

Comparison of estimated weight for 1 cord of different wood types at 20% moisture content.
Wood Density Table (Green Weight, lbs/cord)
Wood Type Green Density (lbs/cord) Air Dry Density (lbs/cord @ 20%) Kiln Dry Density (lbs/cord @ 15%)
Oak450037003400
Maple400033003000
Pine280020001800
Birch350028002500
Ash380031002800
Fir300022002000
Spruce260019001700

What is a Firewood Weight Calculator?

{primary_keyword} is a valuable online tool designed to help individuals and businesses estimate the total weight of a given volume of firewood. It takes into account crucial factors such as the type of wood, its moisture content, and the total volume. Understanding the weight of firewood is essential for various purposes, including transportation logistics, determining storage space requirements, calculating shipping costs, and even assessing the potential energy output (as heavier, denser woods generally yield more heat).

Who Should Use a Firewood Weight Calculator?

Anyone who buys, sells, stores, or transports firewood can benefit from using this {primary_keyword}. This includes:

  • Homeowners: Planning to stack firewood for winter, ensuring they have enough space and can handle moving it.
  • Logistics Managers: Organizing delivery routes and ensuring vehicles can handle the load.
  • Firewood Suppliers/Sellers: Accurately pricing firewood by weight, managing inventory, and providing accurate quotes for delivery.
  • Woodworkers and Craftspeople: Estimating the weight of wood for projects or shipping.
  • Researchers and Foresters: Analyzing wood properties and biomass.

Common Misconceptions about Firewood Weight

Several common misconceptions can lead to inaccurate estimations:

  • "All firewood weighs the same": This is false. Wood density varies significantly by species. A cord of oak weighs considerably more than a cord of pine.
  • "Dry wood is always lighter than green wood": While true in principle, the percentage difference is substantial and depends on the initial moisture content and the drying process.
  • "Weight doesn't matter, volume does": For many applications like transportation and handling, weight is a critical factor. A cord of dense hardwood is much heavier and harder to move than a cord of light softwood, even though they occupy the same volume.

Firewood Weight Calculator Formula and Mathematical Explanation

The core of the {primary_keyword} lies in its ability to combine several factors to arrive at a weight estimate. The general formula is:

Estimated Weight = Volume × Density × (Moisture Adjustment Factor)

Step-by-Step Derivation:

  1. Determine Base Density: We start with a known density for a specific wood type at a standard moisture level (e.g., green, air-dry, or kiln-dry). This is often expressed in pounds per cord (lbs/cord) or kilograms per cubic meter (kg/m³). Our calculator uses data for green density as a base and adjusts from there.
  2. Adjust for Volume Unit: The user's specified volume (in cords, cubic meters, or cubic feet) is converted to a standard unit (e.g., cords) to match the density figures. A standard cord is 128 cubic feet (4ft x 4ft x 8ft stack).
  3. Adjust for Moisture Content: Wood loses weight as it dries. The density of wood is highly dependent on its moisture content. A moisture adjustment factor is applied to account for the difference between the wood's current moisture content and the reference moisture content for the density value used. Drier wood is lighter.

Variable Explanations:

  • Volume: The total amount of space the firewood occupies.
  • Wood Type: Different species have different densities due to cell structure and composition.
  • Moisture Content: The percentage of water within the wood fibers. Higher moisture means more weight.
  • Density: The mass per unit volume of the wood itself, often referenced at a specific moisture level.
  • Moisture Adjustment Factor: A multiplier that increases or decreases the base weight according to the wood's current moisture content relative to the reference.

Variables Table:

Variable Meaning Unit Typical Range
Volume Total space occupied by firewood Cords, m³, ft³ 0.1 – 10+ Cords
Wood Type Species of the wood N/A Oak, Maple, Pine, etc.
Moisture Content Percentage of water in the wood % 0% (bone dry) – 60%+ (very green)
Density Mass per unit volume (at a reference moisture) lbs/cord, kg/m³ 1800 – 5000 lbs/cord (softwoods to hardwoods)
Weight Final calculated mass of the firewood lbs, kg, tons Varies greatly based on inputs

Practical Examples (Real-World Use Cases)

Example 1: Calculating Weight for Winter Storage

Scenario: Sarah is buying 2 cords of seasoned Oak for her home fireplace to last through winter. She wants to know how much it will weigh to plan her storage shed setup and ensure she can move it.

  • Inputs:
    • Wood Type: Oak
    • Volume: 2 Cords
    • Moisture Content: 20% (Air Dry)
    • Density Basis: Air Dry
  • Calculation: The calculator finds the density for Oak at 20% moisture (approximately 3700 lbs/cord). It then calculates: 2 cords × 3700 lbs/cord = 7400 lbs.
  • Outputs:
    • Primary Result: 7400 lbs
    • Intermediate Values: Wood Type: Oak, Volume: 2 Cords, Moisture Content: 20%, Calculated Density: ~3700 lbs/cord
  • Interpretation: Sarah knows she needs to be prepared to handle approximately 3.7 tons of firewood. This helps her decide if she needs help unloading and where to best position the wood in her yard or shed.

Example 2: Estimating Delivery Cost by Weight

Scenario: A firewood supplier is quoting a customer for 5 cubic meters of mixed hardwood (predominantly Maple and Birch) that was recently cut and is quite green.

  • Inputs:
    • Wood Type: Mixed Hardwood (use average, e.g., Maple)
    • Volume: 5 Cubic Meters
    • Moisture Content: 45% (Green)
    • Density Basis: Green
  • Calculation: The calculator converts 5 m³ to cords (approx. 1.42 cords). It uses the green density for Maple (~4000 lbs/cord) and adjusts for the higher moisture. The moisture adjustment for 45% compared to green (often assumed ~50%+) might slightly decrease the density factor. Let's assume the base green density for Maple is used and the calculator handles the minor adjustment. Estimated Weight = 1.42 cords * 4000 lbs/cord ≈ 5680 lbs. (Note: A more precise calculation would use a moisture-density relationship).
  • Outputs:
    • Primary Result: ~5680 lbs
    • Intermediate Values: Wood Type: Maple, Volume: 5 m³ (~1.42 Cords), Moisture Content: 45%, Calculated Density: ~4000 lbs/cord (green basis)
  • Interpretation: The supplier can now accurately quote the customer for delivery. Knowing the weight (~2.84 tons) helps determine if their standard delivery truck is sufficient and estimate fuel costs more precisely. This detailed {primary_keyword} analysis supports fair pricing.

How to Use This Firewood Weight Calculator

Using our {primary_keyword} is straightforward:

  1. Select Wood Type: Choose the species of your firewood from the dropdown menu. Different woods have vastly different densities.
  2. Enter Volume: Input the total amount of firewood you have. Select the appropriate unit (Cords, Cubic Meters, or Cubic Feet). Remember, a standard cord is a 4x4x8 foot stack (128 cubic feet).
  3. Specify Moisture Content: Enter the moisture percentage. "Green" wood (recently cut) can have 40-60% moisture, while seasoned firewood typically ranges from 15-25%.
  4. Choose Density Basis: Select whether the provided density figures (used internally for calculation) are for Green, Air Dry, or Kiln Dry wood. This helps calibrate the calculation.
  5. Click Calculate: Press the "Calculate Weight" button.

Reading the Results:

  • Primary Result: This is the estimated total weight of your firewood in pounds (lbs).
  • Intermediate Values: These provide a breakdown, confirming the inputs used and showing the calculated density based on your selections.
  • Density Table: Use this as a reference for typical densities of various wood types under different conditions.
  • Chart: Visualize how different wood types compare in weight for a standard volume.

Decision-Making Guidance:

The results can inform several decisions:

  • Transportation: Can your vehicle handle the load? Do you need a trailer?
  • Storage: Do you have adequate space and structural support for the weight?
  • Purchasing: Is the price per pound reasonable compared to market rates?
  • Heating Efficiency: Denser woods (like Oak, Hickory) provide more heat per volume but are heavier to handle.

Key Factors That Affect Firewood Weight Results

Several variables significantly influence the calculated weight of firewood:

  1. Wood Species (Density): This is the most significant factor. Hardwoods like Oak and Maple are much denser and heavier per unit volume than softwoods like Pine and Spruce. This difference stems from the wood's cellular structure and lignin content.
  2. Moisture Content: Water is heavy! Green wood, containing a high percentage of water (often 40-60%), weighs considerably more than seasoned wood (15-25% moisture). Proper drying (seasoning) can reduce wood weight by 20-40% or more.
  3. Volume Measurement: Inaccuracies in measuring volume (e.g., how tightly the wood is stacked, irregular shapes) can lead to significant differences in the final weight calculation. The definition of a 'cord' also relies on specific stacking dimensions.
  4. Bark Presence: While often included in volume measurements, bark itself has a different density and moisture content than the wood underneath. For precise calculations, accounting for bark could be a refinement.
  5. Wood Defects/Rot: Rotting wood or wood with significant voids (e.g., insect damage) will be lighter than sound wood of the same species and volume.
  6. Seasoning Method: Air-drying and kiln-drying reduce moisture content differently. Kiln-drying is faster and can achieve lower moisture levels but requires energy. The method impacts the final weight and wood properties.
  7. Temperature and Humidity: While less impactful on the wood's inherent weight, ambient conditions can slightly affect surface moisture, influencing perceived weight during handling.

Frequently Asked Questions (FAQ)

Q1: What is the difference between green, air-dried, and kiln-dried firewood weight?

A: Green firewood (recently cut) is heaviest due to high water content (40-60%). Air-dried firewood (seasoned outdoors for 6-12 months) is lighter (15-25% moisture). Kiln-dried firewood (dried in a specialized oven) is the lightest and driest (often below 15% moisture), offering the most concentrated heat but costing more.

Q2: Does the calculator account for all types of wood?

A: The calculator includes common wood types. For less common species, you can select a similar wood type based on density (e.g., choose Oak for other dense hardwoods) or use average hardwood/softwood densities if available.

Q3: How accurate is the firewood weight calculator?

A: The calculator provides a good estimate based on average densities and standard formulas. Actual weight can vary due to specific wood characteristics, exact moisture content, and stacking density.

Q4: What does "Density Basis" mean?

A: It indicates the moisture content at which the base density values (used in the calculator's internal data) are typically measured. For example, "Green" density is measured when the wood has a high moisture content, while "Kiln Dry" is measured after intensive drying.

Q5: Can I use this calculator to determine how much firewood to buy?

A: Yes, by estimating the volume you need for a season and then calculating its weight, you can better plan your purchase and logistics.

Q6: Why is my calculated weight different from what I expected?

A: Differences can arise from variations in your wood's actual moisture content, species, or how you measured the volume. Our calculator uses typical values.

Q7: Does stacking affect the weight calculation?

A: The calculator estimates weight based on the wood's volume, not how tightly it's stacked. Tighter stacking means more wood in the same volume, thus higher weight, but the calculator's primary inputs are volume and density.

Q8: What's the best way to measure firewood volume?

A: For a standard cord, measure the stack's length, height, and width. A cord is 128 cubic feet (e.g., 8 feet long x 4 feet high x 4 feet deep). For other units, ensure accurate measurements.

var woodDensities = { oak: { green: 4500, airDry: 3700, kilnDry: 3400 }, maple: { green: 4000, airDry: 3300, kilnDry: 3000 }, pine: { green: 2800, airDry: 2000, kilnDry: 1800 }, birch: { green: 3500, airDry: 2800, kilnDry: 2500 }, ash: { green: 3800, airDry: 3100, kilnDry: 2800 }, fir: { green: 3000, airDry: 2200, kilnDry: 2000 }, spruce: { green: 2600, airDry: 1900, kilnDry: 1700 } }; var cordToCubicFeet = 128; var cubicMeterToCubicFeet = 35.3147; function getInputValue(id) { var element = document.getElementById(id); if (element) { return parseFloat(element.value); } return NaN; } function getSelectValue(id) { var element = document.getElementById(id); if (element) { return element.value; } return "; } function setInnerHtml(id, value) { var element = document.getElementById(id); if (element) { element.innerHTML = value; } } function hideError(id) { var errorElement = document.getElementById(id + 'Error'); if (errorElement) { errorElement.style.display = 'none'; } } function showError(id, message) { var errorElement = document.getElementById(id + 'Error'); if (errorElement) { errorElement.textContent = message; errorElement.style.display = 'block'; } } function clearAllErrors() { var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].style.display = 'none'; } } function validateInputs() { clearAllErrors(); var isValid = true; var volume = getInputValue('volume'); if (isNaN(volume) || volume <= 0) { showError('volume', 'Please enter a valid positive volume.'); isValid = false; } var moistureContent = getInputValue('moistureContent'); if (isNaN(moistureContent) || moistureContent 100) { showError('moistureContent', 'Please enter moisture content between 0% and 100%.'); isValid = false; } return isValid; } function updateUnitDisplay(unitId) { var unitElement = document.getElementById(unitId + 'Unit'); var volumeLabel = document.querySelector('label[for="volume"]'); if (unitElement && volumeLabel) { var selectedUnit = unitElement.value; if (selectedUnit === 'cords') { volumeLabel.innerHTML = 'Volume of Firewood (Cords)'; } else if (selectedUnit === 'cubicMeters') { volumeLabel.innerHTML = 'Volume of Firewood (Cubic Meters)'; } else if (selectedUnit === 'cubicFeet') { volumeLabel.innerHTML = 'Volume of Firewood (Cubic Feet)'; } } } function updateInputs() { var woodType = getSelectValue('woodType'); var densityBasis = getSelectValue('densityBasis'); var tableBody = document.getElementById('densityTableBody'); var rows = tableBody.getElementsByTagName('tr'); for (var i = 0; i < rows.length; i++) { var cells = rows[i].getElementsByTagName('td'); var woodName = cells[0].textContent; if (woodName.toLowerCase() === woodType) { var densityValue; if (densityBasis === 'green') densityValue = cells[1].textContent; else if (densityBasis === 'airDry') densityValue = cells[2].textContent; else if (densityBasis === 'kilnDry') densityValue = cells[3].textContent; if (densityValue) { // Update the internal woodDensities object for accurate calculation woodDensities[woodType][densityBasis] = parseFloat(densityValue); } break; } } } function calculateWeight() { if (!validateInputs()) { return; } var woodType = getSelectValue('woodType'); var volume = getInputValue('volume'); var volumeUnit = getSelectValue('volumeUnit'); var moistureContent = getInputValue('moistureContent'); var densityBasis = getSelectValue('densityBasis'); var baseDensity = woodDensities[woodType] ? woodDensities[woodType][densityBasis] : woodDensities['oak'][densityBasis]; // Fallback to Oak if type not found if (isNaN(baseDensity)) baseDensity = 4500; // Default to Oak Green if still not found var volumeInCords; if (volumeUnit === 'cords') { volumeInCords = volume; } else if (volumeUnit === 'cubicMeters') { volumeInCords = volume * (1 / cordToCubicFeet) * cubicMeterToCubicFeet; } else if (volumeUnit === 'cubicFeet') { volumeInCords = volume / cordToCubicFeet; } // Simplified moisture adjustment – this is a complex topic. // For simplicity, we'll apply a percentage reduction based on how much drier it is than 'green' // More accurate models exist involving wood fiber saturation point etc. var moistureAdjustmentFactor = 1.0; var referenceMoistureForBasis = 0; // Rough estimates if (densityBasis === 'green') referenceMoistureForBasis = 50; else if (densityBasis === 'airDry') referenceMoistureForBasis = 20; else if (densityBasis === 'kilnDry') referenceMoistureForBasis = 15; if (moistureContent < referenceMoistureForBasis) { // Wood is drier than basis, weight is less moistureAdjustmentFactor = 1 – ( (referenceMoistureForBasis – moistureContent) / 100 ) * 0.5; // Rough reduction } else { // Wood is wetter than basis, weight is more moistureAdjustmentFactor = 1 + ( (moistureContent – referenceMoistureForBasis) / 100 ) * 0.8; // Rough increase } moistureAdjustmentFactor = Math.max(0.5, moistureAdjustmentFactor); // Prevent extreme values var estimatedWeight = volumeInCords * baseDensity * moistureAdjustmentFactor; var weightInLbs = estimatedWeight; var weightInKg = weightInLbs * 0.453592; var weightInTons = weightInLbs / 2000; setInnerHtml('resultWoodType', woodType.charAt(0).toUpperCase() + woodType.slice(1)); setInnerHtml('resultVolume', volume.toFixed(2) + ' ' + volumeUnit); setInnerHtml('resultMoistureContent', moistureContent.toFixed(1) + '%'); setInnerHtml('resultDensity', baseDensity.toFixed(0) + ' lbs/cord (' + densityBasis.replace(/([A-Z])/g, ' $1').toLowerCase() + ')'); setInnerHtml('primaryResult', weightInLbs.toFixed(0) + ' lbs'); setInnerHtml('resultTotalWeight', weightInLbs.toFixed(0) + ' lbs (' + weightInKg.toFixed(1) + ' kg / ' + weightInTons.toFixed(2) + ' tons)'); updateChart(woodType, volume, volumeUnit, moistureContent); } function resetCalculator() { document.getElementById('woodType').value = 'oak'; document.getElementById('volume').value = '1'; document.getElementById('volumeUnit').value = 'cords'; document.getElementById('moistureContent').value = '20'; document.getElementById('densityBasis').value = 'airDry'; updateUnitDisplay('volume'); updateInputs(); // Ensure internal densities are updated calculateWeight(); } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var woodType = document.getElementById('resultWoodType').textContent; var volume = document.getElementById('resultVolume').textContent; var moisture = document.getElementById('resultMoistureContent').textContent; var density = document.getElementById('resultDensity').textContent; var totalWeight = document.getElementById('resultTotalWeight').textContent; var formula = document.querySelector('.formula-explanation').textContent; var copyText = "— Firewood Weight Calculation —\n\n"; copyText += "Estimated Total Weight: " + primaryResult + "\n"; copyText += "Details:\n"; copyText += "- Wood Type: " + woodType + "\n"; copyText += "- Volume: " + volume + "\n"; copyText += "- Moisture Content: " + moisture + "\n"; copyText += "- Calculated Density: " + density + "\n"; copyText += "- Total Weight: " + totalWeight + "\n\n"; copyText += "Formula Used: " + formula + "\n\n"; copyText += "Assumptions: Densities are based on average values for the selected wood type and basis."; navigator.clipboard.writeText(copyText).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Failed to copy results: ', err); alert('Failed to copy results. Please copy manually.'); }); } function updateChart(selectedWoodType, inputVolume, inputVolumeUnit, inputMoistureContent) { var ctx = document.getElementById('weightChart').getContext('2d'); var chartData = []; var labels = []; var baseVolumeInCords = 1; // Chart compares 1 cord // Convert input volume to cords for consistent chart display comparison if (inputVolumeUnit === 'cords') { baseVolumeInCords = inputVolume; } else if (inputVolumeUnit === 'cubicMeters') { baseVolumeInCords = inputVolume * (1 / cordToCubicFeet) * cubicMeterToCubicFeet; } else if (inputVolumeUnit === 'cubicFeet') { baseVolumeInCords = inputVolume / cordToCubicFeet; } for (var wood in woodDensities) { labels.push(wood.charAt(0).toUpperCase() + wood.slice(1)); var woodData = []; var densityBasis = 'airDry'; // Use airDry as a common reference for chart comparison var density = woodDensities[wood][densityBasis]; if (isNaN(density)) density = woodDensities['oak'][densityBasis]; // Fallback // Use a standard moisture content for comparison, e.g., 20% var standardMoisture = 20; var moistureAdjustmentFactor = 1.0; if (standardMoisture < 20) { // If comparing drier than 20% moistureAdjustmentFactor = 1 – ( (20 – standardMoisture) / 100 ) * 0.5; } else { // If comparing wetter than 20% moistureAdjustmentFactor = 1 + ( (standardMoisture – 20) / 100 ) * 0.8; } moistureAdjustmentFactor = Math.max(0.5, moistureAdjustmentFactor); var weight = baseVolumeInCords * density * moistureAdjustmentFactor; woodData.push(weight); chartData.push({ label: wood.charAt(0).toUpperCase() + wood.slice(1), data: [weight], // Only one data point per wood type for this chart backgroundColor: getRandomColor(), borderColor: getRandomColor(), borderWidth: 1 }); } // Destroy previous chart instance if it exists if (window.weightChartInstance) { window.weightChartInstance.destroy(); } window.weightChartInstance = new Chart(ctx, { type: 'bar', data: { labels: ['Weight (lbs)'], // X-axis label datasets: chartData.map(function(item) { return { label: item.label, data: item.data, backgroundColor: item.backgroundColor, borderColor: item.borderColor, borderWidth: item.borderWidth }; }) }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Estimated Weight (lbs per Cord)' } } }, plugins: { legend: { display: true, position: 'top', }, title: { display: true, text: 'Estimated Weight Comparison (1 Cord @ 20% Moisture)' } } } }); } function getRandomColor() { var letters = '0123456789ABCDEF'; var color = '#'; for (var i = 0; i < 6; i++) { color += letters[Math.floor(Math.random() * 16)]; } return color; } // Initial setup window.onload = function() { updateUnitDisplay('volume'); updateInputs(); // Ensure initial densities are correct from table calculateWeight(); };

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